Results-driven Senior AI/ML Engineer with 6+ years of experience designing and deploying production-grade machine learning and Generative AI systems. Strong expertise in LLM-based applications, agentic frameworks (LangGraph, AutoGen), and privacy-preserving AI, applied across regulated and enterprise environments.
Key Highlights
- Co-authored research paper on synthetic financial data generation using LLMs (IJCNN and ECAI)
- Led enterprise GenAI Text-to-SQL platform (TexQL) at NPCI using LangGraph multi-agent workflows
- Delivered 15Cr+ in cost savings at Bookscape by automating 30M+ book CMS workflows
- Built ADAS compression and YOLO-based CV systems for General Motors and Mercedes Benz AMG
- Winner of Supreme Data Scientist Award and 10x-er Award
Technical Skills
- AI/ML: LangGraph, AutoGen, RAG, VectorDB, Prompt Engineering, NVIDIA NeMo
- Languages: Python, SQL
- Frameworks: TensorFlow, PyTorch, Scikit-learn, OpenCV, YOLO
- Cloud: Azure, AWS, Docker, AzureML