I build systems that think, react, and occasionally behave better than humans.
Somewhere between training models, shipping full-stack apps, and questioning life at 2 AM - I design tech that actually survives outside Jupyter notebooks.
... not just what plays, but what gets built while it plays.
I don’t just “make projects.” I engineer systems designed to operate under real-world constraints - scale, failure, unpredictability.
My work focuses on:
- Artificial Intelligence & Machine Learning
- Computer Vision systems
- Full-stack application architecture
- Decentralized systems (Web3)
If it solves a real problem, scales well, and doesn’t break in production, it’s worth building.
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Production-grade bidirectional security orchestration layer for GenAI systems, focused on controlling model risk both pre- and post-inference.
Stack: AI Safety • LLM Systems • Backend Architecture |
End-to-end campaign planning platform enabling teams to simulate strategies, evaluate outcomes, and generate decision-ready insights.
Stack: Full Stack • Data Modeling • Analytics |
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Decentralized credential verification system eliminating reliance on centralized authorities.
Stack: Solidity • Hardhat • React • IPFS |
AI-driven dietary intelligence system for safer and more informed food decisions.
Stack: FastAPI • React • Python • Machine Learning |
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Maritime intelligence system designed to improve safety and operational awareness.
Stack: Flutter • Node.js • MongoDB |
Computer vision system for extracting behavioral and engagement insights from video.
Stack: OpenCV • Python • MediaPipe |
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