I build scalable, production-ready systems by combining strong computer science fundamentals with advanced agentic AI workflows. I don't just write code; I orchestrate it. By leveraging tools like Cursor, Claude Code, and Codex, I act as the system architect: designing multi-agent workflows that accelerate development cycles by 10x, while retaining 100% ownership over architecture, logic, and code quality.
- 🔭 Currently working on: A production multi-tenant RealEstate CRM and architecting the next-gen AI platform for SmartFridge.
- 🎓 Education: B.Sc. in Computer Science (Final Year Grade: 96.6) while serving 200+ days in active operational reserve duty.
- 💡 Achievements: Lead Developer of SmartFridge, Creator of TimeSkip AI Assessment.
- 🔑 Key Expertise: Full Stack Development (React/Node.js), Applied AI & ML pipelines, PostgreSQL Row-Level Security.
- ⚡ Motto: Code. Build. Automate. Solve Real Problems.
- Tech Stack: React, TypeScript, Node.js, Express, Supabase (PostgreSQL)
- Highlights: Built a live full-stack CRM featuring strict tenant data isolation enforced through Postgres Row-Level Security (RLS). Developed a deterministic property-matching engine and a custom Chrome extension.
- Tech Stack: Python, Java, Supabase, Google Gemini API, Flutter
- Highlights: Initiated an IoT smart inventory startup. Architected backend pipelines integrating Google Gemini 2.5 Flash API for automated OCR receipt parsing and dynamic inventory analysis.
- Tech Stack: Python, Unity, C#, Scikit-learn, REST APIs
- Highlights: Engineered an AI-driven behavioral assessment tool. Trained Logistic Regression models achieving 85% classification accuracy tested on 104 real-world users.
Here are the tools and technologies I work with:
Programming Languages:
Full Stack & Cloud:
AI & Machine Learning:
Core Concepts: System Architecture | Multi-Tenant Architecture | Row-Level Security | Agentic AI | Machine Learning | OOP
