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shareefmx/README.md

👨‍💻 Muhammed Shareef M

AI/ML Engineer · MERN Stack Developer · Intelligent Automation Specialist

Portfolio LinkedIn LeetCode Email Resume


"System design is the programming language, AI is the compiler."
Engineering at the boundary of AI models and production code.


🚀 About Me

I'm an AI/ML Engineer and MERN Stack Developer with hands-on experience building, deploying, and integrating AI models into reliable production environments. Passionate about Large Language Models (LLMs), Generative AI, RAG pipelines, and autonomous multi-step automation workflows.

  • 🎓 Education: B.E. in Information Science and Engineering from New Horizon College of Engineering, Bengaluru (CGPA: 8.74 / 10.0).
  • 💼 Experience: React & AI Agent Developer at GetBeds Tech — built 40+ reusable React/TypeScript components delivering 20+ responsive pages in ~40 days and deployed a custom Gemini 1.5 Flash AI triage agent (reducing manual workflow handling by ~40%).
  • 🔬 Published Research: Published author in IEEE Xplore (Document 10568876) on IoT & Computer Vision (YOLOv5 + CNN) edge detection systems achieving ~85% accuracy.
  • Problem Solving: 246+ Problems Solved on LeetCode with 100+ Days Streak Badge & Top SQL 50 award.
  • ⚙️ Automations: Architected 30+ production workflows in n8n & Zapier connecting Google Cloud, Azure, and LLM APIs.

🛠️ Technical Stack & Tools

Programming Languages
AI & Machine Learning
Automation & Cloud
Web & Backend
Databases & Dev Tools

🌟 Featured Projects & Research

Modern AI Minutes of Meeting (MOM) platform built with React, TypeScript, and Node.js. Captures system & microphone audio, provides live real-time transcription, and synthesizes structured Executive Summaries, Key Decisions, and Action Items.

React TypeScript Node.js LLM APIs Audio Transcription

Technologies for Alleviating Human-Wildlife Conflict — Published in IEEE Xplore. Developed an IoT & computer vision edge detection pipeline with YOLOv5 and CNN classifiers achieving ~85% real-time accuracy and automated warden alerts.

YOLOv5 CNN IoT Sensors Python IEEE Published

Contextual document Q&A and semantic search platform. Ingests PDFs/TXTs, generates vector embeddings, and performs grounded retrieval with strict source provenance citations.

TypeScript Vector Embeddings RAG Pipeline FastAPI


📜 Verified Certifications & Credentials

  • 🏆 Claude 101 CertifiedAnthropic (2025)
  • ☁️ OCI Certified AI Foundations AssociateOracle (2024) · Verify Credential
  • ⚙️ n8n QS101, N8N101, N8N102, N8N103 Certifiedn8n (2025) · Verify Credential
  • ☁️ Journey to Cloud: Envisioning Your SolutionIBM (Aug 2023) · Credly
  • 🧠 Getting Started with Enterprise-grade AIIBM (Mar 2024) · Credly
  • 🐍 Python for Data ScienceIBM (Feb 2024) · Credly
  • 📊 Introduction to Data ScienceCisco (Sep 2023) · Credly
  • 🤖 Generative & Agentic AI DeveloperIBM (2024)

📬 Get In Touch

Designed & built with precision by Muhammed Shareef M

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  1. minomeet minomeet Public

    Minomeet is a modern AI Minutes of Meeting (MOM) assistant built with React, TypeScript, and Node.js. It captures microphone and system audio, provides live real-time transcription, and synthesizes…

    TypeScript 3