I build systems that sit at the intersection of software, hardware, and AI — blockchain-anchored identity platforms, embedded sensor networks, and computer vision pipelines. Most of my work ships end-to-end: contract to frontend, sensor to dashboard, model to inference.

Currently building CO-PE, a psychometric career-assessment platform, in partnership with my father through our consulting practice. Currently exploring neuro-inspired navigation for embedded robotics and continuous AI/IoT monitoring for agriculture.

Decentralized academic credential verification. Institutions issue diplomas as soulbound (non-transferable) ERC-721 tokens; anyone verifies authenticity in seconds via QR scan — no registrar calls, no gatekeeping.

Solidity Hardhat OpenZeppelin React TypeScript Node.js Express PostgreSQL

Live: trustdegree.vercel.app

Nineteen embedded systems projects, each with circuit diagrams and full documentation: automated fire detection with servo-controlled suppression, RFID-based access control, ultrasonic obstacle-avoidance robotics, MQTT sensor telemetry, ESP32 air-quality monitoring with a live web dashboard.

Arduino ESP32 Raspberry Pi Python MQTT C++

Customer behavior analytics platform. Random Forest classification and K-Means clustering behind a Flask REST API — live prediction, on-demand model retraining, and aggregate trend reporting.

Flask scikit-learn Python Gunicorn

Hands-free PC control via webcam-based hand-gesture recognition. Real-time MediaPipe landmark tracking mapped to cursor and system commands.

Python MediaPipe OpenCV

Repository intelligence CLI. Analyzes git history for commit patterns and hotspots, scores code quality (documentation coverage, complexity, naming), scans dependencies for known CVEs, and maps findings to OWASP Top 10 categories.

Python GitPython pylint radon