Marie Skłodowska-Curie PhD Scholar · AI, Cyber Security and Blockchain Scientist · Systems Thinker · Published Technical and Fiction Author · Rhetorician · Polymath · Polyglot · FOSS Advocate · CloudNative & DataOps (CD Foundation) · DevOps & DevRel · GRC Professional · Cyber Warrior · Ex-Naval Officer · Educator · Audio Engineer · Musician · Hypnocounselor · Open-Source Technologist · Lead Auditor · Entrepreneur · Meditation & Life Coach · Speed Learner · Silva UM Instructor

• 📍 Granada, Spain
• 📞 google-calendar/JpzowQkFj39zH9zu7
• ✉️ sagekhanofficial@gmail.com
• LinkedIn: linkedin.com/in/sagekhan
• GitHub: github.com/sage-khan
• 🌐 thesagekhan.medium.com
• 🌐 orcid.org/0009-0001-5084-6122
• 🌐 linktr.ee/sagekhanofficial

A Dynamic, cross-domain system thinker and versatile professional with cross-domain expertise in Cybersecurity, Artificial Intelligence, DevOps, and Open-Source Systems. Marie Skłodowska-Curie PhD Scholar specializing in the convergence of Artificial Intelligence, Cybersecurity, and Decentralized Infrastructure. Bridged the gap between mission-critical physical assets (autonomous wind farms, naval platforms) and advanced digital logic (agentic LLM frameworks, blockchain ontologies). Leveraging a dual background as a former Naval Officer and a Senior AI Developer, architected "trust-aware" systems that prioritize security, explainability, and scalability. A visionary leader experienced in guiding cross-cultural, cross-domain teams across military, academic, and corporate ecosystems. As a Project Lead for the Linux Foundation’s CD Foundation, defined the frameworks that shape the global DataOps landscape. My work—ranging from published technical authorship to the development of polyglot-persistence agentic databases (Project Veritas)—is driven by a commitment to technological sovereignty, open-source advocacy, and the human-centric leadership required to guide cross-domain teams through complex digital transformations. Demonstrated a proven ability to deliver secure, scalable, and high-impact AI solutions at the intersection of technology, leadership, and education. Published author of the book "Open for Business," exploring the integration of open-source technologies into corporate IT infrastructures. Regularly writes content on cybersecurity, AI, and self-help, showcasing a commitment to bridging technical expertise with practical insights. Driven by a passion for secure and scalable digital ecosystems, contribute to the intersection of technology and sustainability through innovative research and thought leadership. Featured as an AI & Cybersecurity Expert on Cloud Native FM Podcast and Frontline with Tazmeen Javaid (News 99).

• Spoken Languages: English (C1 R/W/S), Urdu (C1 R/W/S), Arabic (A2 R/W/S), Russian (A1 R/W/S), Spanish (B2 R/W/S), Punjabi (S), Pushto (S)
• Programming Languages: Python, R, C++, Bash, Java, SQL, HTML/CSS, JavaScript, LaTeX, Markdown. Skilled in LLM prompting, fine-tuning, and integration across models such as GPT, LLaMA, Mistral, and LLaVA.
• AI & Machine Learning Frameworks: PyTorch, TensorFlow, Keras, Scikit-learn, LangChain, LlamaIndex, OpenLLM, LM Studio, Ollama, Unsloth, LlamaFactory. Hands-on experience with model deployment, RAG pipelines, and fine-tuning.
• Data Science & Analytics: Data Analysis, NLP, Generative AI, RAG, ETL, Data Warehousing, Business Intelligence, Tesseract OCR, OCRmyPDF, Power BI, Jupyter, Anaconda.
• ETL & Workflow Automation Tools: Airflow, Airbyte, PySpark, Knime, Unstructured.io, n8n.io, Crew AI.
• Cloud & Infrastructure Platforms: AWS, Azure, Google Cloud Platform (GCP), Oracle Cloud, Digital Ocean, RunPod, Proxmox, OpenStack, VMware. Proficient in containerized and virtualized environments.
• DevOps & MLOps: Docker, Kubernetes, Terraform, Git, CI/CD (GitHub Actions, Jenkins), AWS SageMaker, MLflow, Kaggle. Experience in automated deployment pipelines and model lifecycle management.
• Cybersecurity & GRC Frameworks: NIST CSF, ISO 27001, SOC 2, PCI DSS, HIPAA, Eramba, JupiterOne, Wazuh SIEM/SOC. Skilled in InfoSec audits, Governance, Risk Management, Compliance, Digital Forensics, and Incident Response.
• Technologies & Tools: Linux (Ubuntu, Kali, Fedora, CentOS), WordPress, ERPNext, RPA Framework, PyAutoGUI, MeshCentral, F5/E2 TTS, Pyannote Diarizer, Speechbrain, Kaldi, Vosk, DeepSpeech.
• Database Technologies: MySQL, PostgreSQL, MS SQL Server, MongoDB, DynamoDB, CosmosDB, Vector Databases (Chroma, Qdrant, Weaviate, Pinecone), Graph Databases (Neo4j), Search (OpenSearch), Time-Series (TimescaleDB, Prometheus), Object Storage (MinIO, Blob Storage), Blockchain Ledgers (Hyperledger Fabric).
• Polyglot Data & Agentic Architecture: Ontology-driven polyglot persistence, federated GraphRAG (vector/lexical/graph fusion with RRF), dual-uncertainty data-quality scoring, cross-database provenance (UUID linkage, Kafka/Saga event sync), OWL ontologies & SHACL validation, neuro-symbolic verification (Formal Concept Analysis, Petri nets, SAT/SMT solvers), DID/VC agent identity & policy gating, Great Expectations, dbt, OpenTelemetry/Prometheus/Grafana/Tempo/Loki observability.
• Developer Tools: VS Code, Windsurf, Cursor AI, Jupyter, Anaconda, LaTeX, Markdown, REST API development, FastAPI, React, Typer, PyMC, Pandoc, python-docx/pptx/openpyxl, PyPI packaging & release automation.
• Administration & Productivity Tools: Microsoft Office Suite, Excel (advanced formulas and dashboards), Trello, Jira (Agile & Scrum), Confluence, Notion.
• Audio Engineering & Music Production: Digital Audio Workstations (FL Studio, Ardour), Audio Editing (Audacity), Mixing & Mastering, Sound Design, Music Composition, Piano, Guitar, Vocals.
• Soft Skills: Leadership, Strategic Planning, Mentorship, Public Speaking, Technical Documentation, Research Writing, Problem solving, Team Building, Workshop Facilitation.
• Video & Content Creation: OBS Studio, OpenShot, Canva, StreamYard. Experienced in the creation of educational content, live training, and online broadcasting.

MSCA Personal Docente e Investigador | Onsite

• Research on topic Secure IT framework for autonomous wind farm operation and maintenance based on blockchain, smart contracts and AI under Dr. Manuel Chiachio Ruano and Dr. Juan Chiachio Ruano, along with Dr. Juan Fernandez (QUANTIA ENGINEERING & CONSULTANCY, S.L.), as part of the IntelliWind Marie Skłodowska-Curie Doctoral Network (Horizon Europe, Sep 2024 – Aug 2028), for development of a secure, trustworthy, explainable, and interactive structural health monitoring (SHM) platform for wind farms combining AI algorithms, decentralized knowledge graphs, and blockchain.
• Collaborated with Industry Partners, i.e., NADARA and Quantia, to develop an efficient multi-modal Database with blockchain for wind farm and solar farm data.
• Architected and built Project Veritas, a blockchain-powered, ontology-aware agentic Polyglot Persistence Database processing real SCADA datasets from NADARA and Penmanshiel wind farms; introduced dual-uncertainty quality scoring (parametric + approximation uncertainty via multi-fidelity Gaussian Process fusion) as a novel data-trust contribution targeted for SIGMOD 2027 publication.
• Designed cross-database provenance with UUID linkage and Kafka/Saga-pattern event sync across 7 polyglot stores (PostgreSQL, Neo4j, OpenSearch, Qdrant, Redis, TimescaleDB, Hyperledger Fabric), and an agentic GraphRAG retrieval layer (Neo4j + Qdrant hybrid) with local LLM reasoning via Ollama.
• Founded and lead Agentic AI Polyglot DataOps Security as Principal Investigator, directing student researchers in STRIDE threat modeling and attack-tree analysis of the Veritas architecture family (ontology-driven routing, agent orchestration, trust-scoring pipeline, polyglot-store adapters, blockchain anchoring), mapping surviving threats to concrete mitigations toward a security-analysis publication.
• Designed and fielded an expert-elicitation survey (Blockchain Suitability Index, LimeSurvey) to validate blockchain-integration criteria for industrial SHM data governance with domain-expert input.
• On MSCA industry secondment to Quantia Ingeniería y Consultoría, S.L. (1 Jun – 31 Dec 2026) per the IntelliWind Individual Research Plan, while retaining IPM Lab / UGR affiliation and PhD supervision throughout (secondment detailed below).

Researcher (MSCA Industry Secondment) | Industry-Attached (IPM Lab/UGR affiliation continues)

• Serving as Researcher on Project Cogtwins (COGTWINS26), a Spanish R&D tax-incentive project (titleholder AI 4 INFRA 2026 A.I.E., developer Quantia Ingeniería y Consultoría), functioning in a de facto system-architect capacity across OT1 to OT3 (semantic core, polyglot persistence, trust-first governance) for VERITAS-WF, a TRL-3 to 6 neuro-symbolic Cognitive Digital Twin for wind-farm O&M over a polyglot store (Neo4j, Qdrant, OpenSearch, TimescaleDB, Postgres, MinIO); own the federated knowledge-graph/ontology layer, a Trust Record + MCDM scoring engine, FCA/Petri-net/SAT-SMT neuro-symbolic checks, an Agent Control Center (DID/VC agent identity, Cedar-style policy gating), and a hash-chained audit ledger anchored on Hyperledger Fabric, deployed at veritas.ugr.es.

Continuous Delivery Foundation · Freelance | Remote, United States

• Led the Continuous Delivery Foundation's DataOps Landscape Initiative, defining its vision, roadmap, and governance to strengthen the open-source DataOps ecosystem.
• Developed a structured framework of categories, tools, and technologies within the DataOps landscape to enhance visibility and accessibility for contributors and organizations.
• Scoped and curated example projects and reference implementations that demonstrate practical DataOps use cases and best practices.
• Designed and implemented evaluation criteria and inclusion standards to ensure project quality, maintainability, and community relevance.
• Engaged with the global DataOps and CI/CD community to encourage project submissions via GitHub and increase participation in the foundation’s ecosystem.
• Established and maintained high-quality guidelines for project inclusion, emphasizing technical maturity, documentation quality, and sustainability.
• Authored and published technical blog posts and thought leadership content to promote awareness and adoption of DataOps principles.
• Organized and facilitated community workshops and webinars to educate professionals on the DataOps landscape, frameworks, and industry impact.
• Reviewed and edited technical content to ensure clarity, consistency, and accuracy across foundation publications and materials.

Senior AI Developer | Remote

• Led the design and development of scalable image generation pipelines using Flux and SDXL, integrating cloud APIs (Replicate) and on-prem deployments to optimize inference cost and latency.
• Formed and managed a cross-functional engineering team, building Dockerized microservices and RESTful APIs to support backend integrations and accelerate product delivery.
• Acted as a technical product owner, defining feature requirements, managing agile sprints, and delivering production-grade AI systems informed by real user feedback.
• Developed advanced ComfyUI workflows for consistent character and scene generation, modularizing nodes for reusability by non-technical stakeholders.
• Implemented ControlNet with OpenPose and depth maps to enforce pose and scene consistency, improving image coherence and creative control.
• Fine-tuned Flux diffusion models using Low-Rank Adaptation (LoRA), reducing compute cost while improving model fidelity and domain specialization.
• Deployed ML inference systems using Django, Docker, and Kubernetes on DigitalOcean, integrating CI/CD pipelines via GitHub Actions for reliable production scaling.
• Enhanced voice generation and speech pipelines by integrating ElevenLabs, Hugging Face, and Replicate models, improving accuracy and latency for real-time agents.
• Delivered full-stack Django applications with versioned REST APIs, JSON Web Token Authentication, caching, and monitoring to support both internal and external clients.
• Created text-to-video generation systems by combining D-ID and Dia TTS, enabling lifelike talking head experiences with synchronized speech and facial animation.
• Built an agentic brainstorming platform using n8n.io, integrating LLM agents, vector databases, and API orchestration to automate internal ideation workflows.

Machine Learning Engineer (Contract) | Remote

• Developed and integrated Robotic Process Automation (RPA) workflows using AutoGUI, Selenium, Playwright, and LLMs via OpenRouter to streamline business operations.
• Implemented and deployed ASR, STT, TTS, and voice cloning systems leveraging F5, E2, and cutting-edge AI models for conversational assistants.
• Collaborated with globally distributed teams in an Agile Scrum environment using Jira, ensuring timely and high-quality AI solution delivery.
• Integrated Large Language Models (LLMs) through OpenRouter and ChatGPT APIs to enhance automation and reasoning capabilities across pipelines.
• Developed speaker diarization systems using Pyannote and Whisper-based transcript analysis to accurately separate and label speakers in multi-speaker audio.
• Delivered end-to-end AI model training, optimization, and deployment, ensuring scalable, maintainable, and production-ready solutions.

Machine Learning Consultant | Remote (Part-Time)

• Pre-Sales Consultation - Acted as a vital link between US Clients and the global development team
• Participating in introductory and technical meetings
• Engaging with clients to understand their requirements and conveying these to the development team
• Ensuring clear and effective communication between all parties
• Effective training and deployment of AI solutions as per client requirement

AI-ASR Engineer (Volunteer Member) | Part-Time

• Engineered and trained a custom Speech-to-Text (STT) system from scratch using a Hybrid HMM-DNN architecture on a proprietary dataset for CPLC’s voice analysis initiatives.
• Automated the end-to-end data preprocessing and model training pipeline using Linux services, cron jobs, and custom Bash scripts for continuous integration and maintenance.
• Utilized Kaldi, DeepSpeech, and Vosk frameworks to optimize speech recognition accuracy and system scalability for operational deployment.

Lieutenant Commander | Pakistan

• Led the development and containerized deployment of Analytical War Gaming, GIS, and War Simulation software using open-source technologies (Flask, SQL) on Linux servers.
• Integrated AI and Large Language Models (LLMs) via Ollama to automate internal processes and improve operational decision-making efficiency.
• Authored and implemented Cyber Warfare doctrines, covering Electronic Warfare, Intelligence Operations, and Information Operations strategy and execution.
• Conducted information security audits, governance, and regulatory compliance assessments across multiple naval units.
• Established and led Incident Response and Cyber Emergency Response Teams (CERTs), providing Cyber Security readiness training to operational units.
• Deployed and customized open-source software solutions to optimize administrative workflows and automate mission-specific processes.
• Served in multiple technical and command roles, including Signal Communication Officer, Electronic Warfare Officer, Information Warfare Officer, Principal Underwater Warfare Officer, and Executive Officer, managing multi-disciplinary naval operations.
• Directed maritime law enforcement and security operations, including port and fishing control, anti-human trafficking, counter-narcotics, and anti-smuggling missions.
• Delivered training programs for junior officers at naval training establishments and on deployed vessels, mentoring personnel in operations, leadership, and technical skills.
• Served aboard multiple platforms including Type-21 Destroyers, F22P Frigates, and Corvettes, contributing to operational readiness and mission execution.
• Completed advanced naval and combat training in SEAL operations, close-quarter combat, surface and underwater warfare, helicopter operations, anti-piracy, naval leadership, and administration.

EC-Council (Course Instructor and Author) | EC-Council Learning | Mar 2026 – Present

• Contracted as Author and Instructor for three EC-Council Learning video courses to date, and engaged separately as a Subject-Matter-Expert contributing author for the EC-Council Learning technical blog, on a royalty-based compensation model.
• AI Algorithmic Auditing in Action (Mar – May 2026) – EC-Council Learning's first video course under this engagement: a ~5-hour, 9-section, 52-video curriculum on Machine Learning fundamentals, Algorithmic Auditing, AI Ethics, Legal frameworks, Bias and Fairness, and Explainability (XAI). (full curriculum detail under Projects.)
• NetOps Demystified (Jun 2026 – Present) – a ~4-hour-10-minute, 8-section, 33-video curriculum on Software-Defined Networking, Infrastructure-as-Code (Ansible, Terraform), Network Reliability Engineering, and observability (Prometheus, Grafana). (full curriculum detail under Projects.)
• Hands-On Blockchain Forensics (Jul 2026 – Present) – a ~4-hour-15-minute, 8-section, 36-video curriculum on blockchain forensics: Bitcoin/Ethereum ledger analysis, transaction-graph attribution, smart-contract exploit investigation, and mixer/cross-chain obfuscation tracing. (full curriculum detail under Projects.)
• Contributing Author – Technical Blogs (Jul 2026 – Present) – wrote and submitted four long-form technical blog posts on applied AI/LLM security, mapped to the Certified Offensive AI Security Professional (C|OASP) curriculum. (titles and abstracts under Publications.)

Senior AI Consultant | Nova Tech (Built Pulse) | Nov 2025 – Feb 2026

• Authored a 168+ page technical deliverable set (Agent Architecture Blueprint, Agent Development Playbook, Agent Development Manual, plus a 12-week AI Agent Curriculum, Framework Comparison Guide, and Deployment Checklist) architecting a 5-bot AI automation suite (Email, Meeting, Project Tracker, Knowledge, Resource Allocator) for the client's Karachi engineering team.
• Architected and built the Knowledge Bot: a FastAPI + LangChain document-ingestion pipeline (PDF, DOCX, XLSX, CSV, JSON, TXT) with OpenAI embeddings and Qdrant vector-similarity search for semantic retrieval across organizational documents and meeting transcripts.
• Delivered, beyond contracted scope, a full codebase restructuring, fixed 5 critical security vulnerabilities (hardcoded secrets, in-memory token storage), added Redis-backed password reset and auth rate-limiting, and built a 100+ test suite (75% backend API coverage) with GitHub Actions CI/CD.
• Authored Docker Compose and Kubernetes deployment manifests and a microservices migration guide (PostgreSQL, Redis, Qdrant, n8n) for production rollout of the bot suite.
• Developed and enforced enterprise-grade password management policies aligned with ISO 27001 standards, implementing Passbolt for secure credential orchestration and access control.
• Automated organizational employee attendance tracking by deploying and integrating Kimai and TimeTrex, streamlining HR operations and resource reporting via custom API integrations. Final deployment was on horillaHRMS. Led the deployment of customized CRM
• Drafting end-to-end AI/ML product development SOPs and security protocols for IP protection, while facilitating hands-on agent-building workshops for the core engineering team.

Deployment of Open Source SOC Using Wazuh | Virtuous BPO | Aug 2024 – In Progress

• Implemented an open-source Security Operations Center (SOC) using Wazuh.
• Customized detection rules and dashboards based on organizational security and compliance requirements.

Process Automation Using RPA Framework | Virtuous BPO | Jun 2024 – Aug 2024

• Designed and deployed custom RPA bots using Python to automate accounting and BPO workflows in QuickBooks.
• Streamlined repetitive business processes to enhance efficiency and reduce manual workloads.

Large Language Model Training Optimization | 41 Labs LLC, USA | Mar 2024

• Provided consultation on optimization and fine-tuning of GPT-3.5 for medical domain use cases.
• Employed OpenAI API, Python, Bash, JSON, and SQL for training, evaluation, and deployment workflows.

Open Source Offline LLM Deployment | Virtuous BPO | Jan – May 2024

• Consulted on deployment of an open-source Large Language Model (LLM) customized for BPO operations.
• Implemented PrivateGPT RAG solutions and deployed Ollama LLM servers on remote Linux systems.
• Configured NVIDIA drivers, CUDA, NCCL, and cuDNN for optimized GPU performance.
• Developed automated workflows using Python, including an offline PDF-to-Excel conversion tool integrated with PrivateGPT.
• Built RAG pipelines using LangChain, LlamaIndex, Ollama, and embeddings such as BERT and MiniLM with VectorDBs (Chroma, Qdrant, Weaviate, Pinecone).
• Managed model operations (push, pull, edit) for open-source models like LLaMA and Mistral.
• Deployed GitLab, Jenkins, and n8n.io for CI/CD and automation workflows.
• Developed Crew AI-based bots for task automation and process optimization.
• Utilized Python, Bash, JSON, SQL, MongoDB, and vector databases for end-to-end development.

Open Source ERP and HRMIS Deployment | Virtuous BPO | Dec 2023 – Jan 2024

• Deployed ERPNext HR and Training modules alongside OrangeHRMS for HR and operations automation.
• Configured deployments across Ubuntu, Kali, CentOS, and Fedora systems.
• Utilized Python, Bash, JSON, SQL, and MongoDB for integration, customization, and backend scripting.

Open Source Deployment for Efficient Office Administration | Virtuous BPO | Nov – Dec 2023

• Deployed open-source platforms to enhance administrative efficiency using Python, Bash, JSON, SQL, and MongoDB.
• Implemented MeshCentral for remote PC management and Passbolt/TeamPass for secure password handling.
• Configured systems on Ubuntu, Kali, CentOS, and Fedora environments.
• Developed governance, regulatory, and compliance policies aligned with ISO 27001 and NIST CSF, including ACLs, cyber-physical security, and information management standards.

Open Source Network Deployment | Virtuous BPO | Jun – Nov 2023

• Developed and implemented secure network infrastructure using Python, Bash, JSON, SQL, and MongoDB.
• Configured and deployed VPNs, SSH, and secure connections to ensure system integrity.
• Set up testing servers, virtual machines, and LxCs using Proxmox for localized cloud environments.
• Configured multi-distro environments including Ubuntu, Kali, CentOS, and Fedora.

Technical Content Writing | Disruptivera, Medium | 2020–2022

• Authored technical blogs and articles on AI, Data Science, and emerging technologies.
• Conducted topic ideation, keyword analysis, proofreading, and editing for clarity and engagement.
• Developed technical documentation and tutorials to explain complex AI concepts to general audiences.

Content Writing – US Concept Pages | Upwork | 2010

• Authored SEO-optimized content for U.S.-based concept pages and marketing sites.
• Performed keyword research and implemented search engine optimization (SEO) strategies to increase visibility.
• Delivered high-quality written material aligned with client objectives and brand tone.

Freelance Audio Engineer and Music Composer | Upwork | 2010

• Composed and produced original music tracks for diverse projects.
• Developed complete audio tracks using FL Studio and Audacity, managing the full production lifecycle.
• Performed professional mixing and mastering to ensure optimal sound quality and client satisfaction.

Private Coach (Part-Time) | Remote, United Kingdom

• One-on-one teaching in AI, Cyber Security, programming, Mathematics, Statistics, from A Levels to Grad students.

Lecturer (Part-Time), Project Supervisor | Karachi, Pakistan

• Taught undergraduate courses in Management Information Systems, Data Analytics, Business Analytics, Machine Learning, and Generative AI.
• Developed and refined curricula and instructional content for Business Analytics and Data Science courses.
• Supervised student projects, providing academic mentorship and technical guidance in data-driven research.

Lecturer (Part-Time), Project Supervisor | Karachi, Pakistan

• Instructed undergraduate and postgraduate courses on Generative AI, Critical Infrastructure Protection, Incident Response, Advanced Operating Systems, Digital Forensics, Ethical Hacking, and Information Security Governance.
• Developed comprehensive lab manuals, course outlines, and teaching materials aligned with academic and industry standards.
• Delivered professional training sessions at the Professional Development Center (PDC) focusing on applied AI and cybersecurity skills.
• Supervised student research and capstone projects, guiding project planning, execution, and defense preparation.

Instructor, Junior Officer Training Officer, Head of Postgraduate Program | Karachi, Pakistan

• Appointed by the Pakistan Navy to train newly commissioned naval officers in academic and technical disciplines.
• Designed and established Cybersecurity laboratories for both foundational and advanced training programs.
• Contributed to the development of Cyber Warfare and AI doctrines for integration into national defense education.
• Conducted information security audits and implemented governance, regulatory, and compliance measures in alignment with ISO 27001, ISO 27002, and NIST CSF frameworks.
• Performed physical security assessments and policy enforcement at the institutional management level.
• Delivered professional development courses in Artificial Intelligence and Cybersecurity at NUST’s Professional Development Center.
• Taught postgraduate courses in Digital Forensics, Ethical Hacking, and Information Security Governance, combining theory with hands-on practice.

IPM Lab, Universidad de Granada | Granada, Spain

Marie Skłodowska-Curie Actions Personal Docente e Investigador (PhD Scholar)

***~ Research Work***

• Artificial Intelligence
• Sustainable Development
• Renewable Energy
• Blockchain
• Cyber Security
• Knowledge Graph
• Internet of Things
• Network Security
• Structural Monitoring

National University of Science & Technology - Pak Navy Engineering College | Karachi, Pakistan

CGPA 4.0 / 4.0 WITH GOLD MEDAL

***~ Relevant Coursework***

• Info Sec Management
• SDLC
• Digital Forensics
• Ethical Hacking
• Artificial Intelligence
• Internet of Things
• Applied Cryptography
• Network Security

National University of Science & Technology - Pak Navy Engineering College | Karachi, Pakistan

CGPA 3.72 / 4.0

***~ Relevant Coursework***

• Programming
• Web Development
• Networking
• Database
• Data Warehousing
• SDLC
• Entrepreneurship
• Organizational Behavior
• Operations Research
• Human-Computer Interaction
• Computer Architecture

Bahria College Karachi NORE-I | Karachi, Pakistan

1A 3A 1B 1C*

***~ Subjects & Results***

• Accounting (A* Grade)
• Mathematics (A Grade)
• Physics (A Grade)
• Chemistry (A Grade)
• Thinking Skills (B Grade)
• Further Maths (C Grade)

Bahria College Karachi NORE-I | Karachi, Pakistan

10As

***~ Subjects & Results***

• English (A Grade)
• Urdu (A Grade)
• Mathematics (A Grade)
• Add. Math (A Grade)
• Physics (A Grade)
• Chemistry (A Grade)
• Biology (A Grade)
• Computer Science (A Grade)
• Islamiat (A Grade)
• History & Geography of Pakistan (A Grade)

Registered Information Technology Freelancer | Pakistan Software Export Board, Ministry of IT (MoIT) | May 2025

• Officially registered as an IT Freelancer with the Ministry of IT & Telecom, Government of Pakistan.
• Registration ID: FL21/PSEB/2025/13053.

ISO/IEC 27001:2013 Lead Auditor | IRCA, RICI | Apr 2024

• Successfully completed ISO/IEC 27001:2013 Lead Auditor Training, accredited by IRCA and RICI (Lahore).
• Credential ID: CQI-ULN-554424 (Certificate #08983).
• Specialized in Information Security Auditing, Governance, Risk Management, and Compliance (GRC) in alignment with international standards.

Audio Engineering & Music Production | Audio Institute of America | Feb 2016

• Completed professional certification in Audio and Sound Engineering, covering recording, mixing, and mastering techniques.
• Trained in the operation and maintenance of studio recording equipment and production workflows.
• Developed expertise in music production and arrangement for digital and analog environments.
• Gained hands-on experience with Digital Audio Workstations (DAWs) and post-production processes.

IntelliWind MSCA-DN - Training School 1 | Technical University of Denmark (DTU) | Sep 15 – Sep 24, 2025

• Completed intensive training on the wind energy sector, focusing on data science, AI, and research applications for autonomous wind farms.
• Core Technical Topics: Wind Energy Fundamentals, Data Science essentials, Machine Learning and Deep Learning for wind, and hands-on analysis of SCADA data.
• Studied advanced concepts including AI & ML impact on operations, Prompt Engineering with LLMs, and the autonomous systems concept.
• Transferrable Skills: Attended workshops on writing scientific papers, Open Science tools, researcher communication, and PhD project management.
• Confirmed attendance and full participation for the event held at DTU Wind and Energy Systems, Roskilde, Denmark.
• ECTS Credits: Training covered 8 full days between September 15th and September 24th, 2025).

Computer Vision Workshop | PDC NUST-PNEC | Mar 2023

• Completed training on Python-based Computer Vision using Convolutional Neural Networks (CNNs).
• Applied image detection and classification techniques using AI models.

Artificial Intelligence Workshop | PDC NUST-PNEC | Jan 2023

• Participated in an applied workshop introducing AI fundamentals and practical implementations.
• Used Python libraries for text classification and image recognition tasks.

Linux for System Administration | PDC NUST-PNEC | Dec 2021 – Feb 2022

• Completed practical training across multiple Linux distributions including Ubuntu, Kali, CentOS, and Fedora.
• Configured desktop environments such as GNOME, KDE, and XFCE, with focus on usability and performance.
• Gained proficiency in package and key management (apt, dnf, snap).
• Implemented automation using cron jobs, and worked with Docker and Kubernetes for containerized deployments.
• Utilized curl, wget, ssh, sshfs, and scp for secure network operations.
• Gained hands-on experience with KVMs and cloud environments such as AWS and DigitalOcean.
• Delivered a final project deploying a secure WordPress site on Linux infrastructure.

Incident Response Course | PDC NUST-PNEC | Apr 2021

• Completed hands-on training in log extraction, management, and forensic imaging.
• Studied legal and procedural aspects of incident response and digital forensics.
• Learned structured reporting procedures, command, and control frameworks for incident management.

Maritime Law Enforcement and Policing | HQ PMSA | 2019

• Completed training in maritime law enforcement, port and fishing control, and coastal security.
• Studied anti-human trafficking and anti-drug operations within maritime jurisdictions.

Basic Navy SEAL Course | NSOTC | 2018

• Completed all modules of the course except the final phase.
• Trained in physical security, VIP protection, secure communication, and close-quarter combat.
• Conducted anti-terrorist, boarding, and combat diving operations.

Helicopter Controller Course | PNS MEHRAN | 2017

• Trained in secure air traffic control for military aviation operations.
• Applied secure communication protocols for air-sea coordination.
• Learned operational procedures for air asset tasking and command control at sea.

Bridge Watch Keeping Certificate | PNS TARIQ (Type 21) | 2017

• Qualified in ship handling, navigation, and formation management.
• Trained in radio and visual communications, damage control, and electronic warfare.
• Gained experience in crew leadership and shipboard HR management.

Junior Officer Staff Duties Course | PNS RAHNUMA | Mar 2016

• Enhanced research, presentation, and correspondence skills.
• Developed deep understanding of command, control, and staff duties in a military organization.

Naval Operations Course | PNS BAHADUR | Jan – Sep 2016

• Trained in secure communications, physical security, electronic warfare, and information warfare.
• Gained proficiency in surface, above-water, and underwater operations.
• Completed modules in maritime and astro-navigation, small arms handling, and ship formations.

CBRNDC & Fire Fighting Course | PNS KARSAZ | Jul 2015

• Gained understanding of CBRN warfare principles and fire safety operations.
• Trained on firefighting equipment, organizational structure, and damage control drills.

Logistics, Management, and Naval Law | PNS KARSAZ | Jun 2015

• Trained in naval logistics and supply chain management.
• Studied naval law, financial compliance, audit, and regulatory frameworks.

Basic Management Course | PNS RAHNUMA | Aug 2014

• Developed strong administration, leadership, and presentation skills.
• Enhanced public speaking and communication capabilities.
• Learned principles of efficient office administration and management.

Centro de Lenguas Modernas (CLM), Universidad de Granada | Granada, Spain

• Completed the B2.2 level course, achieving upper-intermediate (B2) proficiency in Spanish language and culture.
• Completed the full A1 to B2 CLM progression (Nov 2025 – Jul 2026) across five consecutive terms.

Centro de Lenguas Modernas (CLM), Universidad de Granada | Granada, Spain

• Completed the B2.1 level course, advancing to upper-intermediate proficiency in Spanish.

Centro de Lenguas Modernas (CLM), Universidad de Granada | Granada, Spain

• Completed the B1.2 level course, consolidating intermediate Spanish grammar, comprehension, and conversational fluency.

Centro de Lenguas Modernas (CLM), Universidad de Granada | Granada, Spain

• Completed the B1.1 level course for Spanish language and culture, progressing from A1 within the CLM intensive track.

Centro de Lenguas Modernas (CLM), Universidad de Granada | Granada, Spain

• Completed the A1 level course for Spanish language and culture.
• Course duration: 03 November 2025 to 28 November 2025 i.e. 80 hours.

Ural State Pedagogical University - Centre for Open Education | Yekaterinburg, Russia

• Completed the course on the Russian language and culture (A1 level).
• Program: "Culture of Russia".
• Course duration: 02 September 2024 to 28 October 2024.
• Total volume: 72 hours.

British Council, IDP, Cambridge English | Overall Band 8.0

• Achieved an Overall Band Score of 8.0.
• Individual Band Scores: Listening 8.5 (C2), Reading 7.5 (C1), Writing 8.0 (C1), Speaking 7.5 (C1).
• Test Report Form Number: 24PK501964KHAM363A.

Life Book Mastery | Mindvalley | 2020

• Developed skills in life planning, time management, and career goal setting.

Certified Hypnotherapist | First Institute of Dynamic Learning by Kamran Sultan | 2020

• Certified in hypnotherapy techniques for stress management and cognitive enhancement.
• Applied principles of neuro-linguistic programming (NLP) to improve communication and influence.

Fire & Glass Walk Course | First Institute of Dynamic Learning by Kamran Sultan | 2020

• Trained participants in mental resilience and overcoming physical limitations.
• Successfully completed final assessment involving a glass walk challenge.

Silva Ultra Mind Instructor | Avlis Pro | 2019

• Certified as a meditation instructor specializing in stress reduction and mental resilience.

Hands-On Blockchain Forensics | EC-Council Learning – Author & Instructor | Jul 2026 – Present

• Contracted as Author and Instructor for a third EC-Council Learning video course, "Hands-On Blockchain Forensics: Investigating Cryptocurrency Transactions, Smart Contract Exploits, and Decentralized Ledger Evidence Using Open-Source Analysis Frameworks" (Inhouse Publishing Agreement executed Jul 9, 2026), covering blockchain forensics: tracing cryptocurrency transactions, attributing wallets, and investigating smart-contract exploits using open-source tooling.
• Authored a ~4-hour-15-minute, 8-section, 36-video (1 overview + 35 numbered) curriculum spanning Bitcoin UTXO-model ledger analysis and address-clustering heuristics, Ethereum/EVM event-log and ERC-20 transfer tracing, transaction-graph construction and entity-attribution confidence (NetworkX), smart-contract exploit investigation (OWASP Smart Contract Top 10 triage, Slither static analysis, a reentrancy/DAO-2016 case-study timeline, proxy-pattern upgrade risk), and mixer/cross-chain obfuscation tracing (Tornado Cash OFAC designation and Fifth Circuit precedent, bridge-exploit laundering paths), aligned to ISO/IEC 27037:2012 and NIST SP 800-86 digital-evidence standards for DFIR, AML/compliance, and law-enforcement use cases.
• Designed hands-on labs and reproducible Jupyter investigation notebooks over bundled real historical on-chain datasets (public chain data, Blockchair/Etherscan APIs, Python: web3.py, bitcoinlib, NetworkX, Slither) framed around publicly documented incidents (Ronin Bridge 2022, Poly Network 2021, Euler Finance 2023) – an entirely open-source-first toolchain requiring no commercial blockchain-intelligence platform (Chainalysis, TRM Labs, Elliptic) licence to complete.
• Produced full course deliverables: course handbook (eBook), section quizzes, 25-question final assessment, LMS metadata, and instructional slide decks, on a royalty-based compensation model.

Agentic AI Polyglot DataOps Security | Python, Pydantic, STRIDE | Jul 2026 – Present

• Early-stage security-research companion to Project Veritas: applying STRIDE threat modeling and attack-tree analysis to an agentic-AI, polyglot-persistence DataOps architecture.
• Structuring a PI-and-student-researcher collaboration toward a published threat-model catalogue and defensive-mitigation library for agentic data platforms.

NetOps Demystified | EC-Council Learning – Author & Instructor | Jun 2026 – Present

• Contracted as Author and Instructor for a second EC-Council Learning video course (Publishing & Distribution Agreement signed Jun 5, 2026), on software-driven, automated network operations ("NetOps Demystified: From Legacy Network Administration to Software-Driven, Automated, and Reliable Network Operations").
• Authoring an ~4-hour-10-minute, 8-section, 33-video curriculum covering Software-Defined Networking foundations, Infrastructure-as-Code for networks (Ansible, Terraform), Network Reliability Engineering, and observability/telemetry (Prometheus, Grafana), bridging NetOps into NetSecOps.
• Built hands-on labs with Containerlab, Terraform, and NETCONF/ncclient, plus a Prometheus/Grafana observability notebook, for reproducible network-automation practice.
• Produced full course deliverables: course handbook (eBook), section quizzes, 25-question final assessment, LMS metadata, and instructional "how-to" videos, on a royalty-based compensation model.

Text2OfficeProcessor | Python, FastAPI, Typer, python-docx/pptx/openpyxl, Pandoc, PyPI | Apr 2026 – Present

• Published and maintain an open-source PyPI package (MIT, v0.5.1) converting Markdown/Text/HTML into template-driven PPTX, DOCX, and XLSX documents via deterministic, non-hallucinating rendering.
• Designed the tool so an LLM only normalizes and tags content, never authors the final document, keeping every template's branding, layout, and images fully preserved and every replacement auditable; added optional multi-provider LLM normalization (OpenAI, Anthropic, Groq).
• Built a Typer CLI (convert, batch, analyze, watch, serve) and an optional FastAPI REST server, a Pandoc-backed DOCX extraction pipeline (style/content extractors), an LLM-assisted spreadsheet reorganizer, automated template structure analysis, and PPTX text-overflow handling.
• Originated the project from an internal EC-Council document-generation rulefile, iterated into a versioned Python package with 232 automated tests (pytest, CI on GitHub Actions with a PyPI trusted-publisher release workflow) and bundled generic templates.

Symphysis | Founder: Python, FastAPI, React, Typer, Ollama, PyMC, SearXNG | Aug 2026 – Present

• Founded and built a config-driven, replicable agent-panel engine for expert-elicitation surveys, the general-purpose successor to the Blockchain Suitability Index survey tooling built for Project Veritas's TrustRouter/BSI research; published on PyPI as symphysis (Apache 2.0) with a Typer CLI (new, add-agent, fix-survey, report).
• Designed every agent as a portable, self-certifying Agent Card (did:key identity, role, model, RAG corpus, permissions, guardrails), so a survey configuration and its identical agent panel can be respawned anywhere from one JSON file per agent.
• Implemented the Best-Worst Method (classical linear-program and Bayesian/PyMC solvers, verified against the original authors' reference implementations) and the Analytic Hierarchy Process, plus a hierarchical-BWM instrument for multi-level composite decision frameworks, behind one pluggable instrument interface.
• Built guardrails an agent panel actually needs to be trustworthy evidence, not just automation: schema-validated and denylist-scanned responses, multiple independent samples per agent rather than one completion treated as ground truth, a QA self-verification pre-check and post-check per agent, and a tamper-evidence hash manifest over every run's full audit trail.
• Shipped a FastAPI + React web UI (survey builder, live run monitor, Analytics tab, per-agent Trace/Conversation viewer) and grounded agents in up to four context sources per query: per-agent RAG corpus, a shared per-survey knowledge base, curated role knowledge packs, and self-hosted web search (SearXNG + Crawl4AI, no external API key required).
• Ran a live 17-agent panel against a real deployed survey instrument end to end, catching and fixing a real permission-scope bug that had been silently skipping every RAG-enabled agent.
• Open-source release (Apache 2.0, matching Project Veritas's own licensing) planned alongside the TrustRouter/BSI paper's publication.

AI Algorithmic Auditing in Action | EC-Council Learning – Author & Instructor | Mar 2026 – May 2026

• Contracted as Author and Instructor to design and develop a professional training course in AI Algorithmic Auditing within the domain of information security – EC-Council Learning's first video course under this engagement.
• Authored and recorded a ~5-hour, 9-section, 52-video curriculum covering Machine Learning fundamentals, Algorithmic Auditing, AI Ethics, Legal frameworks, Bias and Fairness, and Explainability (XAI).
• Delivered full supporting materials: course handbook (eBook), section-wise quizzes, final assessment (25 questions), metadata documentation, and instructional “how-to” videos.
• Designed content aligned with industry compliance, security standards, and real-world AI governance practices.
• Engaged in iterative review cycles with EC-Council, incorporating editorial and technical feedback to meet publication standards.
• Contributed to a commercially distributed product with royalty-based compensation model (20% of net receipts).

Veritas AI DB | Founder & Lead Architect — Python, Neo4j, Qdrant, OpenSearch, Hyperledger Fabric | 11 Feb 2026 – Present

• Architected ontology-driven polyglot data platform integrating 7 heterogeneous databases, relational, graph, vector, search, time-series, object storage, blockchain.
• Designed trust-scored routing layer with uncertainty-aware confidence bounds for data governance.
• Implemented GraphRAG architecture for industrial SCADA and document intelligence workloads.
• Built 13-step recursive industrial document processing pipeline, multi-engine OCR, layout analysis, semantic chunking, embedding generation.
• Developed agentic data quality framework with distributed tracing via OpenTelemetry for non-deterministic workflows.
• Implemented global UUID-based provenance system spanning polyglot stores.
• Open-sourced the specification, ontology, and adapter layers under the Veritas AI DB GitHub organization (veritas-spec, veritas-ontology, veritas-adapters), while the core orchestration engine and PhD-thesis-backed research implementation continue as active, closed development.

CodeGuardian | Python, Docker, Ollama, Gemini CLI | 2024 – Present

• Integrated Ollama to enable offline code review workflows using open-source LLMs for enhanced privacy and local security.
• Implemented multi-model support, including Google Gemini CLI and OpenAI Codex, for comparative evaluation of code-analysis capabilities.
• Designed a modular pipeline enabling scalable AI-based static review and developer-assist features.

Ascon Encryption – C Implementation | C, Cryptography | 2024

• Conducted research and documentation of Ascon, a NIST SP 800-232 Standardized lightweight authenticated encryption algorithm.
• Analyzed performance and correctness aspects of core primitives on resource-constrained systems.

Ascon Encryption – Rust Implementation | Rust, Cryptography | 2024

• Performed cryptographic research and documentation for a Rust-based implementation prioritizing memory-safety and performance.
• Supported alignment with modern lightweight AEAD standards for embedded and IoT applications.

Offline LaTeX Editor & Customized Book Template (PN) | LaTeX | Feb 2023 – Jul 2023

• Built a fully offline, locally hosted LaTeX editor for secure content development.
• Developed standardized LaTeX templates for books and publications from scratch.
• Implemented offline open-source book management with Calibre and Kavita Reader.

Speech-to-Text for Urdu Language | Bash, Python, Perl, C++, JSON, SQL | Oct 2021 – Dec 2022

• Trained a Hybrid HMM-DNN STT system from scratch on a customized dataset at CPLC as part of MS CyS thesis.
• Automated Linux-based pipelines with services, cron jobs, and Bash scripts for data cleaning and model execution.
• Leveraged Kaldi, DeepSpeech, and Vosk frameworks for modeling and evaluation.

IoT-Based Temperature and Humidity Detector | Bash, Python, MongoDB | Feb – Jun 2021

• Completed an end-to-end secure IoT project for MS CyS, covering device, network, and application layers.
• Integrated MQTT with TLS/SSL in a pub/sub model using Mosquitto as the broker.
• Implemented data collection in Prometheus (time-series) and MongoDB (NoSQL).
• Developed dashboards in Grafana for real-time visualization and monitoring.
• Performed packet capture and security analysis to validate sensor communication integrity.
• Programmed ESP32 microcontroller with temperature/humidity sensors via Arduino on Linux and Windows.
• Containerized the PoC using Docker for reproducible deployment.

Recruitment Analysis System | Python, HTML, CSS, Power BI | 2017–2018

• Delivered a final-year MIS capstone focused on recruitment analytics and decision support.
• Built a proof of concept for data-driven recruitment analysis and candidate evaluation.

Open-Source AI & Agentic Marketing | Marketing e IA Podcast (with Emilio) | 25 Jun 2026

• Guest appearance on the bilingual (Spanish/English) Marketing e IA podcast, covering running enterprise-grade AI on open-source stacks (Ollama, ERPNext, Wazuh, n8n) and identifying "agent washing" in marketing-AI tooling, followed by two expanded Medium articles: "Enterprise AI Without the Enterprise Bill" and "Agentic AI or Agent Washing: Why Most "AI Agents" in Marketing Are Just Expensive Chatbots" (written, pending publication).

State of Artificial Intelligence and Cyber Security in Pakistan | NTN News | 13 Apr 2026

• Interviewed on NTN News on the state of AI and cybersecurity in Pakistan, followed by an expanded written reflection on medium.com covering digital-infrastructure and talent-retention challenges.

Pakistan’s Wind Power Revolution: Turning Coastal Breezes into Energy | News 99 | 14 October 2025

• Featured on Frontline with Tazmeen Javaid discussing the potential of renewable energy in Pakistan and the role of the IntelliWind EU project on improving the Wind Energy sector, followed by a detailed article on medium.com.

Brain Drain and Bureaucracy in Pakistan | News 99 | 01 Aug 2025

• Featured on Frontline with Tazmeen Javaid discussing brain drain, bureaucracy, and the potential of AI and blockchain in public-sector reform.

Will Artificial Intelligence Take Jobs Or Create New Opportunities? | News 99 | 16 Apr 2025

• Appeared on Frontline with Tazmeen Javaid with Saim Safder, covering AI’s impact on creativity, research, and the future of work.

The Impact of Pakistan's Slow Internet on the Economy | News 99 | 18 Feb 2025

• Discussed how limited internet connectivity affects productivity, competitiveness, and economic growth, highlighting digital infrastructure challenges and solutions.

DeepSeek and Impact on Other LLMs | News 99 | 30 Jan 2025

• Explored DeepSeek and strategic implications for AI competitiveness, including China–US dynamics in advanced AI.

State of Linux Kernel | Cloud Native FM (Saim Safder) | 18 Jan 2025

• Joined Cloud Native FM podcast to discuss Linux kernel trends and AI development considerations.

Cyber Security for Kids | Pakistan Navy | 20 Feb 2024

• Delivered an online session on cybersecurity awareness tailored for children and parents.

AI and Cyber Security | AI Center of Pakistan | 20 Feb 2024

• Presented an applied session on AI and cybersecurity, focusing on risks, controls, and safe adoption.

Bahria University | Workshop Facilitator | 2022

• Facilitated Navigating the Digital World workshop for student psychologists (Bachelor’s).
• Strengthened research skills, fact-checking, and information verification practices.

Spendless Academy | Remote Trainer | Aug 2018 – May 2022

• Launched online instruction prior to widespread remote learning, building early distance-teaching experience.
• Taught speed reading, memory improvement, meditation, and the Silva UltraMind ESP system.

Developer Relations & Community Builder | Part-Time, Remote

• Contributed to podcasts and content (Cloud Native FM) on Linux, AI, DevOps, and Cybersecurity.
• Coordinated and hosted community events focused on the CNCF stack.
• Designed and delivered training on core CNCF technologies.

Director General | NUST-PNEC

• Organized NUST PNEC’s first nationwide MUN as Director General.
• Managed a conference with 600+ delegates, including international participants.
• Delivered two major events: Grand Carnival and Qawali Night.
• Participated as a delegate in five MUNs and received awards.
• Chaired more than 15 MUN committees across Pakistan.

• Music Composition
• Piano
• Guitar
• Singing
• Blogging
• Article & Novel Writing
• Research Work
• Course Designing
• Chess
• Swimming & Diving
• Sailing
• Football
• Basketball
• Squash
• Table Tennis
• Badminton
• Cricket
• Calisthenics
• Power Lifting
• Coaching
• Public Speaking
• YouTube
• Podcasts
• Mentoring

Tamgha-e-Marka-e-Haq | Pakistan Navy | 16 May 2025

• Awarded the Tamgha-e-Marka-e-Haq medal in recognition of service and operational readiness during the Pakistan–India standoff (Marka-e-Haq Day, 10 May 2025). (Auth: YGPP3KA dated 16 May 2025)

Pakistan Diamond Jubilee Medal | Pakistan Navy | 26 Jan 2023

• Received the Pakistan Diamond Jubilee 75th Independence Day Medal for distinguished service and dedication to duty.

10 Years Long Service Medal | Pakistan Navy | 01 Jan 2022

• Honored with the 10 Years Long Service Medal for a decade of continuous and exemplary service in the Pakistan Navy.

Tamgha-e-Azm | Pakistan Navy | 23 Mar 2018

• Conferred the Tamgha-e-Azm Military Service Medal, recognizing exceptional bravery, commitment, and service in operations against militancy and terrorism.
• The medal, established by the Ministry of Defence (2018), honors members of the Armed Forces, Civil Armed Forces, and Law Enforcement Agencies serving on active strength between Dec 11, 2001 and Mar 23, 2018.

Book | Taylor & Francis

Abstract: Subtitled The Modern Developer's Blueprint for AI-Augmented Software Engineering Excellence. Co-authored with Rahim Ali and Syeda Ayesha Zeeshan. Addresses the "vibe coding" phenomenon, the practice of relying on AI-generated code without review or understanding, and offers a structured alternative grounded in software-engineering discipline. Teaches developers to leverage AI coding assistants (GitHub Copilot, Windsurf, Gemini Code Assist, Claude, Tabnine) while retaining full ownership, understanding, and accountability for every line of code, drawing on Linux-kernel-development rigor and contemporary research on AI-code security risk. ISBN (Hardback): 978-1-041-25622-9. ISBN (eBook): 978-1-003-74757-4.

Book | Business Expert Press

Abstract: Co-authored with Mareeha Noor and Syeda Ayesha Zeeshan, part of the Business Career Development Collection. A principle-driven, practitioner-oriented guide to the art-business equilibrium in modern cinema, teaching frameworks (manufacturing, product, customer, the 4Ps, narrative structure, rewatchability, audience alienation) illustrated through major franchise case studies.

Book | Routledge

Abstract: Subtitled A Comprehensive Guide for the Digital Age. Co-authored with Hameed Afzal and Haq Nawaz Khan. A practitioner-oriented handbook to managing third-party risk in the AI, cloud, and global-supply-chain era: vendor classification and criticality frameworks, industry-specific TPRM approaches across finance, healthcare, energy, retail, government, and education, and AI/ML applications in vendor intelligence, predictive risk modeling, and automated contract-compliance monitoring. 272 pages. In copyediting as of Jul 2026; publication scheduled Dec 2026 (subject to change per publisher). ISBN (Hardback): 9781041374497. ISBN (Paperback): 9781041374503.

Book | Taylor & Francis

Abstract: Open for Business by Sage Khan & Rahim Ali explores the transformative role of open-source software in the corporate landscape. It examines the evolution of software licensing, from the early days of copyright and proprietary models, championed by figures like Bill Gates, to the rise of open-source principles driven by the Free Software Foundation and the GNU Project. The book explores how open-source projects, supported by the Linux Foundation, have become integral to modern IT infrastructure, promoting innovation, security, and cost efficiency. It highlights the growing specialization in fields like DevOps, AI, and cybersecurity, and discusses the challenges companies face in maintaining in-house expertise, often leading to outsourcing for convenience. Khan critically assesses the impact of corporate intervention on open-source projects, using case studies of Red Hat, HashiCorp, and others to illustrate how business decisions can sometimes undermine the open-source ethos. Despite these challenges, the book highlights the resilience of the open-source community through initiatives such as project forks and alternative licensing models. "Open for Business" advocates for the adoption of open-source solutions to enhance organizational learning and flexibility while balancing corporate needs for scalability and support. It calls for a renewed commitment to the principles of transparency, collaboration, and freedom in the software industry. DOI: 10.1201/9781003536314. ISBN: 9781003536314.

Novel | Amazon Kindle Direct Publishing

Abstract: A contemporary sports drama that fuses mixed martial arts realism with philosophical reflection. The novel follows Tony “The Spartan” Reyes, an MMA contender who rebuilds his career and identity after personal loss, while confronting rivalry, grief, and self-mastery. Through disciplined narrative building and thematic exploration of resilience and stoic thought, the work blends high-intensity fight culture with questions of meaning, identity, and human growth. ASIN: B0FT6DRV3D. ISBN: 978-84-09-77559-0.

Review Paper | SES Journal, DOI

Abstract: Leveraging Artificial Intelligence in Pharmacy and Clinical Pharmacy Transformative Innovations for Precision, Operational Efficiency, and Enhanced Patient-Centered Care covers that By improving accuracy, operational effectiveness, and patient-centered care, the use of artificial intelligence (AI) in clinical pharmacy and pharmacy is transforming healthcare. Drug discovery, customized medicine, and pharmaceutical treatment management are being optimized by AI-driven advances, including machine learning algorithms, natural language processing, and predictive analytics. AI-powered decision support systems in clinical pharmacies increase workflow efficiency, decrease adverse medication reactions, and improve prescription accuracy. Real-time patient monitoring, AI-assisted drug use evaluations, and automated dispensing robots all help to optimize resources and enhance therapeutic results. Additionally, AI improves drug adherence through digital health interventions such as chatbots, virtual assistants, and smartphone apps that offer instructional help and customized reminders. Drug safety surveillance is strengthened by the early detection of adverse drug responses made possible by the incorporation of AI in pharmacovigilance. Despite these developments, competent AI implementation requires addressing issues including data protection, legal compliance, and ethical considerations. This paper examines how artificial intelligence (AI) is changing pharmacy and clinical pharmacy, highlighting significant advancements, advantages, and difficulties, as well as how it might change the way healthcare is delivered. Pharmacists may adopt a more proactive, data-driven strategy by utilizing AI, which will eventually enhance patient safety, treatment results, and healthcare efficiency. To enable AI's responsible and successful incorporation into pharmacy practice, future research should concentrate on improving AI algorithms, encouraging multidisciplinary cooperation, and creating strong regulatory frameworks. To satisfy the changing needs of precision medicine and patient-centric healthcare, this study emphasizes the critical necessity for ongoing developments in AI-driven pharmacy solutions. ISSN Print: 2960-2793, ISSN Online: 2960-2807

Research Paper | SES Journal, Zenodo DOI

Abstract: A Dual Approach to Automation and Safety with Real-Time Monitoring and Alerts - The integration of Internet of Things (IoT) technologies into building management systems has revolutionized the development of smarter, more efficient and safer environments. This paper presents a dual approach to smart building management, emphasizing both automation and safety through real-time monitoring and alert mechanisms. The automation system utilizes bidirectional ultrasonic sensors to monitor building occupancy and, in conjunction with temperature sensors, dynamically adjusts appliances such as lights, fans, air conditioners, and heaters to optimize comfort and energy efficiency. A notable feature of the system is its ability to enable remote monitoring and control of appliances via SMS communication. On the safety front, the system incorporates a suite of IoT sensors including smoke, flame, gas, temperature, and ultrasonic sensors to detect hazards such as fires or gas leaks. In response to such events, the system automatically disconnects circuit breakers, activates alarms for evacuation, and dispatches real-time alert messages to occupants’ mobile devices. This dual-function system enhances operational efficiency, reduces energy consumption, and significantly improves building safety. The paper details the design, implementation, and practical benefits of this integrated IoT-based smart building management solution. ISSN (e) 3007-3138 (p) 3007-312X

Research Paper | SES Journal, Zenodo DOI

Abstract: The rapid evolution of manufacturing technologies has driven the need for more efficient, precise, and adaptive systems. This paper "Design and Development of Next-Generation CNC Robotic Machine Integrated with Laser Technology for Smart Manufacturing" presents the design and development of a next-generation Computer Numerical Control (CNC) robotic machine integrated with laser technology for smart manufacturing. By combining the advanced capabilities of CNC robotics with the precision of laser systems, the proposed system enhances manufacturing flexibility, accuracy, and automation across diverse industries. State-of-the-art robotic arms, high-power laser tools, and intelligent control systems are integrated to enable multi-material processing, rapid prototyping, and complex part production. The system is engineered with a focus on energy efficiency, safety, and adaptability, incorporating real-time data analytics and predictive maintenance features that align with Industry 4.0 standards. Despite challenges regarding integration complexity and cost, experimental validations demonstrate that this innovative CNC robotic machine offers significant promise in transforming manufacturing practices into smarter, more agile production environments. Future work is anticipated to further optimize the system through the integration of advanced AI and machine learning techniques for adaptive process control.

Research Paper | Arxiv,S2IS

Abstract: Call Centers have huge amount of audio data, which can be used for achieving valuable business insights and transcription of phone calls is a tedious task when done manually. An effective Automated Speech Recognition system can accurately transcribe these calls for easy search through call history for specific context and content, allowing automatic call monitoring, improving QoS through keyword search and sentiment analysis. ASR for Call Center requires more robustness as the telephonic environment are generally noisy. Moreover, there are many low-resourced languages that are on verge of extinction, which can be preserved with the help of Automatic Speech Recognition Technology. Urdu is the 10th most widely spoken language in the world, with 231,295,440 worldwide, still remains a resource constrained language in ASR. Regional call-center conversations operate in the local language, with a mix of English numbers and technical terms generally causing code-switching problem. Hence, this paper describes an implementation framework of a resource-efficient Automatic Speech Recognition/ Speech to Text System in a noisy call-center environment using Chain Hybrid HMM and CNN-TDNN for Code-Switched Urdu Language. Using Hybrid HMM-DNN approach allowed us to utilize the advantages of Neural Network with less labelled data. Adding CNN with TDNN has been shown to work better in a noisy environment due to CNN's additional frequency dimension, which captures extra information from noisy speech, thus improving accuracy. We collected data from various open sources and labelled some of the unlabelled data after analysing its general context and content from Urdu language as well as from commonly used words from other languages, primarily English and were able to achieve WER of 5.2% with noisy as well as clean environment in isolated words or numbers as well as in continuous spontaneous speech.

Thesis NUST-PNEC | Research Gate

• Thesis work for Master's Degree
• Developed latex proficiency
• Practical implementation done in CPLC call center
• Achieved 95% Speech to Text Transcription accuracy on Noisy Telephonic Urdu custom CPLC data using Hybrid HMM-CNN-TDNN Model with Lattice Free MMI Objective Function

Blogs | Subject-Matter-Expert Contributing Author

• "How to Write an AI CTF Walkthrough: Methodology Without Spoiling the Flag" — A practitioner methodology for writing AI capture-the-flag (CTF) writeups: repeatable analysis structure, walkthrough best practices, and spoiler-safe documentation technique. (link to follow on publication)
• "System Prompt Extraction in CTFs: Techniques, Tools, and Real Examples" — Surveys system prompt extraction techniques, tooling, and real-world incidents (including the 2023 Bing/Sydney disclosure), mapped to prompt-injection and jailbreaking risk categories. (link to follow on publication)
• "RAG Security Explained Through CTF Challenges: Vector Poisoning, Embedding Inversion, and More" — Explains Retrieval-Augmented Generation (RAG) security risk — vector poisoning and embedding inversion attacks — through CTF-style challenges grounded in the OWASP LLM Top 10 vector/embedding weakness category. (link to follow on publication)
• "Best AI CTF Platforms to Practice LLM Security in 2026 (Gandalf, HTB, Crucible and More)" — A comparative guide to AI capture-the-flag platforms (Gandalf, Hack The Box, Crucible, and others) for hands-on LLM security and AI red-teaming practice. (link to follow on publication)

Medium | 2024-Present

• Understanding Recursive Nature of Fractals — Explored the mathematical foundations of self-similarity and recursive algorithms, highlighting their applications in procedural generation and computer graphics.
• Fractals in Nature — Analyzed biological and geological patterns through the lens of fractal geometry, demonstrating how simple recursive rules manifest in complex natural systems like river networks and lung structures.
• Charter of Economy and Technology — Proposed a non-partisan framework for Pakistan's IT sector, emphasizing the need for long-term policy consistency to decouple technological growth from political volatility.
• Modernizing Legacy Apps with Docker & Kubernetes — Outlined architectural strategies for transitioning monolithic systems to cloud-native microservices, focusing on container orchestration and high-availability deployment.
• From the First Hard Fall to the Echo of Legend — A philosophical exploration of leadership and resilience, drawing parallels between historical excellence and the requirements for modern technical and ethical leadership.
• AI in Project Management Practices — Discussed the integration of generative AI into Agile workflows, specifically focusing on automated sprint planning, resource allocation, and predictive risk assessment.
• AI Vibe: Coding and Policy Enforcement — Examined the 'Vibe Coding' phenomenon, balancing the speed of natural language development with the necessity of automated security guardrails and architectural linting.
• Open Source and AI Synergy — Argued for the necessity of open-source ecosystems in AI development to ensure transparency, ethical standards, and the democratization of high-performance models.
• The DevOps of AI Ecosystem — Defined the MLOps lifecycle, covering the bridge between model training and production-grade deployment through automated evaluation and continuous monitoring.
• Standard Documentation for Pakistani Citizens — Compiled a comprehensive logistical guide for students and professionals, detailing the bureaucratic and technical requirements for international academic and professional mobility.
• Braindrain & Bureaucracy — Investigated the systemic causes of talent migration in Pakistan and advocated for digital-first policies and remote-work hubs to retain local intellectual capital.
• Model Context Protocol: Hype, Anti-Pattern, or Standard? — Analyzed the emerging open standard for LLM-data integration and its role in decoupling agentic workflows from proprietary interfaces.
• Beyond ChatGPT with a UI: Why AI Wrappers Matter — Investigated strategies for building defensible AI-native startups by leveraging vertical domain depth, proprietary data moats, and workflow integration.
• Potential of Pakistan in the Renewable Sector — Explored Pakistan's 2.9M MW solar potential and proposed policy reforms like smart-grid integration and localized manufacturing for energy independence.
• Rulefiles in AI-Powered Development — Outlined a paradigm shift in AI-assisted coding using version-controlled instruction sets to enforce architectural standards and security policies.
• Ascon: The Tiny Titan of IoT Security — Conducted a deep technical dive into the NIST-standardized lightweight cryptographic algorithm, focusing on efficiency in resource-constrained IoT devices.
• Open Source in the Corporate World — Discussed achieving technological sovereignty and operational agility through the strategic adoption of open-source architectures and enterprise toolsets.
• DevOps for Data: Apache Spark on Containers — Detailed the integration of big data workloads into CI/CD pipelines via containerized Spark, data-quality gates, and multi-tenant resource management on Kubernetes.
• CodeGuardian: AI-Driven Security Code Review with Natural Language Understanding — Technical deep dive into the CodeGuardian architecture, comparing offline (Ollama) and multi-model (Gemini CLI, Codex) code-review pipelines.
• Building a Researcher Profile That Opens Doors — An 8-pillar strategic framework for academic and industry researcher-profile building, from publication strategy to platform positioning.
• The Invisible Foundation: Why Infrastructure Matters More Than Ever in the Age of AI — A citation-backed analysis of compute, power, and data-center dependency chains underpinning modern AI systems.
• RuView: The Open-Source System That Sees Through Walls with WiFi — Technical review of WiFi-based DensePose sensing, examining privacy, security, and dual-use implications of the open-source technique.
• Nvidia or eNvidia? How Big Tech's Infrastructure Squeeze Is Killing the Self-Built Future — Analyzed the GPU/RAM supply squeeze and its impact on independent AI builders versus hyperscalers.
• On AI, Cybersecurity, and Pakistan's Digital Future — Expanded written reflections on structural challenges in Pakistan's digital infrastructure, talent retention, and cybersecurity, following an NTN News interview.
• Will AI Replace Humans? What the Engineering, Economics, and Data Actually Say — Evidence-based analysis of AI's impact on labor markets, grounded in engineering constraints and economic data rather than hype.
• Beware of Literary Agent Impersonators — A practical awareness guide for authors on identifying and handling publishing-industry impersonation scams.
• Patience, Justice, and the Quiet Power of Faith — A reflective essay on resilience, ethics, and faith, extending the author's self-help and human-development writing.
• On Building Veritas: An Ontology-Aware Polyglot DataOps Architecture for Industrial AI — A technical deep dive into Project Veritas's agentic polyglot-persistence architecture, ontology design, and MSCA research roadmap.
• The Vercel Breach: Why Infrastructure Ownership Is Not Negotiable — Analyzed a third-party platform breach to argue for infrastructure ownership and self-hosting as core security and sovereignty practices.
• Enterprise AI Without the Enterprise Bill — Adapted from a guest appearance on the Marketing e IA podcast with Emilio: how small businesses can run enterprise-grade AI tooling (Ollama, ERPNext, Wazuh, n8n) on open-source stacks for a fraction of SaaS cost.
• Agentic AI or Agent Washing: Why Most "AI Agents" in Marketing Are Just Expensive Chatbots — Companion piece from the same Marketing e IA podcast episode: a three-property test (multi-step autonomy, real tool use, self-correction) for separating genuine agentic AI from relabeled chatbots. (written; link to follow on publication)