AI ML Engineer
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AI/ML Engineer with 2+ years building production-grade computer vision systems, LLM-powered applications, and real-time data pipelines. Experienced in end-to-end ML model development, RAG architectures, and scalable FastAPI backends. Trained 350+ individuals in AI/ML and currently building QA-FORGE, an autonomous local AI testing agent.
Built NAINA, a real-time AI video analytics platform processing 5+ concurrent RTSP streams via Kafka, with automated incident detection, motion-triggered alerting, and multi-camera support across production deployments.
– Trained and deployed custom computer vision models for helmet, fire & smoke, fight, and fall detection using YOLOv5 (90%+
accuracy); integrated GroundingDINO, LLaVA, and DeepFace for object detection, scene understanding, and facial recognition.
– Built a RAG-based natural language query interface using ChromaDB and SentenceTransformer embeddings for semantic search over surveillance event data, alongside YOLOv5 + EasyOCR multi-model pipelines.
– Architected a FastAPI backend with WebSockets, PostgreSQL, JWT auth, RBAC, and rate limiting for secure, real-time, multi-user deployments; built a Paperless eGov Tool using OCR and NLP to digitize handwritten Hindi and English government documents.
– Worked within Agile sprint cycles for iterative model development and feature delivery across NAINA platform epics.
– Authored CMMI Level 3 compliance artifacts including peer review documentation, technical solution designs, and process audit records across multiple development phases.
B.Sc. in Data Science
