I build systems that survive reality. Not demos.
My work sits at the intersection of autonomous AI agents, real-time perception, and backend infrastructure. I care deeply about reliability, explainability, and systems that hold up under pressure.
Currently building open-source AI tooling and shipping production systems.
| Project | What it does | Stack |
|---|---|---|
| SteerPlane | Runtime guardrails for AI agents — cost limits, loop detection, policy engine, real-time dashboard | Python · TypeScript · FastAPI · Next.js |
| NAVIRA | Converts voice/text intent into safe, explainable task execution across real websites | Python · Azure · LLMs · Multimodal Vision |
| DroneGuard-AI | Real-time GPS spoofing detection & autonomous failsafe for drones via multi-sensor fusion | Python · FastAPI · React · WebSockets |
| Jarvis Neural Interface | Gesture-controlled 3D neural network visualiser using real-time hand tracking | React · Three.js · MediaPipe |
| WasteVision-AI | Real-time waste detection and classification with persistent multi-object tracking | Python · YOLOv8 · DeepSORT · OpenCV |
Languages Python TypeScript JavaScript C++ Java SQL
Frameworks FastAPI React Next.js React Native Node.js TailwindCSS
AI / ML LLMs YOLOv8 MediaPipe DeepSORT TensorFlow
Infra Azure Docker WebSockets PostgreSQL REST APIs
Tools Git Linux PyPI npm pytest
I believe every system should be safe by design, not by accident. No black boxes. No shortcuts that work until they don't.
If it can't explain its decisions, it can't be trusted. If it isn't documented, it doesn't exist. If it breaks under pressure, it wasn't ready.
Open to research collaborations, open-source contributions, and internships.
