Shreyash Yadav I build LLM-powered systems — RAG pipelines, agentic workflows, and real-time AI applications — in Python and TypeScript. Graduating December 2026 with an MS in Information Systems from Northeastern, seeking full-time AI/ML Engineer and Software Engineer roles. Most recently at Cybersenz, I built AI-driven automation for healthcare insurance workflows: LLM-powered extraction pipelines that turned unstructured conversations into 75+ structured variables, and multi-step conversational agents for identity and benefits verification. Before that, I spent 3+ years shipping production software — full-stack e-commerce at WHP Jewellers (React, Node.js, Spring Boot) and enterprise data workflows at KPMG India (Node.js, Python ETL, SQL analytics). Outside of work I build AI products end to end: • IntelliClaim AI — insurance document intelligence combining OCR, RAG, semantic search, and fraud-risk analysis to automate claim review. React, FastAPI, Groq (Llama 3.3 70B), LangChain, LlamaIndex, ChromaDB, MongoDB Atlas. • MeetSense AI — real-time meeting intelligence that turns live audio into transcripts, action items, decisions, and summaries. React 19, TypeScript, FastAPI, Deepgram nova-2, WebS
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Masters, Software
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