I build at the intersection of robotics R&D, AI/ML, and embedded systems—from sensor inputs and edge logic to perception, decision-making, and usable operator interfaces.
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- Robotics R&D at Aeronoma, across UAV simulation, perception, navigation, and edge deployment workstreams.
- Practical AI systems using computer vision, retrieval, evaluation, and local model workflows.
- Embedded prototypes that connect physical sensors, ESP32-class hardware, cloud services, and dashboards.
| Project | What it demonstrates |
|---|---|
| Smart Biometric Attendance System | ESP32 + fingerprint sensing, Firebase, dashboards, encrypted backup and hardware testing |
| Medico.ai | Medical text classification, model evaluation and embedding-based semantic retrieval |
| KrishiRakshak X | AI and IoT smart-farming system; second runner-up at HACKED 2025 |
Python C/C++ ROS 2 OpenCV YOLO Jetson ESP32 ArduPilot MAVLink Firebase Supabase React
I care about clear system boundaries, evidence-backed claims, and prototypes that survive contact with real hardware.