
About Me
Data Scientist ~3 yrs exp with strong experience in designing and deploying large scale AI/ML systems across Computer Vision, OCR, NLP, Fraud Detection, and RAG. At TVS Credit, I built a production grade KYC document automation pipeline using FastAPI, YOLOv5, PaddleOCR, and GPU optimized inference, reducing processing time by 42% and enabling automation of 3+ crore documents monthly with significant cost savings. I developed a real time face deduplication system using DeepFace and ChromaDB to identify fraudulent or duplicate identities across loan databases, strengthening fraud detection. I also built a RAG based internal policy chatbot using Azure OpenAI and FAISS, improving policy search efficiency by 60%+. Earlier at Infosys, I worked as an Omnihub Developer, customizing Sterling Omnihub for Reebok China by integrating POS, WMS, and OMS systems, optimizing order lifecycles, and enhancing system performance in an agile environment.
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