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Sai Ganesh nelluri
Mid-level Generative AI Engineer specializing in LLM systems and RAG
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About
Currently at Huntington Bank, built a production-grade RAG system that helps business/operations teams get grounded answers from large volumes of internal enterprise documents. Owns ingestion and FastAPI backend, tuned hybrid BM25+vector retrieval and chunking for relevance, and evaluates reliability with metrics and observability (LangSmith, CloudWatch, Prometheus/Grafana) while partnering closely with non-technical stakeholders.
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Key Strengths
- Built and deployed a production RAG system for enterprise document Q&A at Huntington Bank
- Strong retrieval quality focus (hybrid BM25 + vector search) to improve grounded/accurate LLM responses
- End-to-end pipeline ownership (document ingestion + backend API endpoints in FastAPI)
- Practical experience orchestrating LLM workflows with LangChain and LangGraph, including agent-style multi-step flows
- Reliability-minded evaluation approach using measurable metrics (latency, hallucination rate, faithfulness) and observability tooling (CloudWatch, Prometheus, Grafana, LangSmith)
- Effective collaboration with non-technical business/operations stakeholders via feedback sessions to improve retrieval accuracy and answer clarity
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