Backend engineer building REST APIs, AI-integrated services, and distributed tooling. Primary stack: Node.js + Express + MongoDB, with Python for ML-adjacent work.
- DeepScan β AI-powered deepfake & synthetic image detection with PyTorch (Xception) + EXIF forensics + weighted score fusion
- Autonomous Driving System β Real-time ADAS perception pipeline with YOLOv8 detection, ByteTrack, MiDaS depth, lane detection, collision risk analysis, and a React dashboard
- Ai_Customer_Service β AI-driven customer service automation for support ticket handling
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AI-Powered Deepfake & Synthetic Media Detector 3-layer detection pipeline powered by a PyTorch Xception model:
Supports both image and video upload with real-time results.
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Real-Time ADAS Perception Pipeline Perception stack with YOLOv8 object detection, ByteTrack multi-object tracking, MiDaS monocular depth estimation, Hough + polyfit lane detection, and collision risk analysis (TTC + distance-based). Includes a full-stack dashboard with live WebSocket video streaming and real-time telemetry.
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| Org | Contribution | Status |
|---|---|---|
| OSCG'26 | CSV export with auth middleware + test coverage | Merged |
| GSSoC'26 | Agenda.js persistent job queue for ABAC permission system | In Progress |




