Senior AI/ML Engineer · Computer Vision · Edge & Embedded AI
AI/ML engineer with end-to-end experience shipping production computer-vision and deep-learning systems — from data pipelines and model training to TensorRT-optimized deployment on NVIDIA DeepStream and edge devices. Computer Science graduate from Dayananda Sagar University, Bangalore.
Currently building multi-camera tracking, video analytics, and full-stack ML platforms at Satyaki Solutions.
- Computer Vision — multi-target multi-camera tracking, detection, pose estimation, OCR, anomaly detection
- Edge AI Deployment — NVIDIA DeepStream 9, TensorRT, Triton, GStreamer pipelines, Jetson
- MLOps & Data — training pipelines, dataset curation, model versioning, observability
- Full-Stack ML Products — FastAPI / Django / Next.js services backed by ML inference
- Embedded Systems — ARM, 8051, real-time Linux, sensor fusion
| Project | Domain | Stack |
|---|---|---|
| GridTrack-MTMC | Multi-target multi-camera tracking for manufacturing floors | DeepStream 9 · ADA-Track 2D · grid fusion · TensorRT |
| BlueprintTakeoff-AI | Construction blueprint parsing and quantity takeoff | YOLO · OCR · LLM grounding |
| ZoneWatch | Restricted-zone intrusion and PPE compliance | DeepStream · custom tracker · alerting |
| BagCounter-AI | Conveyor bag counting with computer vision | YOLO · ByteTrack · edge inference |
| CraneVision-AI | Crane operation safety automation | CV · pose · proximity analytics |
| SimOps-AI / RigMind | Industrial ops monitoring & predictive insights | Vision + telemetry + ML |
| NoteGenius | LLM-powered note intelligence | Embeddings · RAG · vector DB |
| TenderScraper | Tender discovery and structured extraction | Scraping · NLP |
ARM Cortex / 8051 firmware · Embedded Linux · GDB · GCC · real-time sensor pipelines.
Collaboration on applied computer vision, edge AI, MLOps and AR/VR projects. Reach out via LinkedIn or email.
Built things that ship. Measure twice, cut once.