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Varun Kothapalli
Mid-level AI/Machine Learning Engineer specializing in Generative AI, NLP, and MLOps
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About
Built a production LLM/RAG document analysis system for large financial documents (credit reports/PDFs) to help business analysts extract insights faster. Implemented end-to-end pipeline orchestration with LangChain, vector search (e.g., FAISS), and hallucination controls (context grounding, similarity thresholds, and no-answer fallback), delivered as a Dockerized Python API.
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Key Strengths
- Built and deployed a production RAG system for financial document Q&A
- Strong grounding approach to reduce hallucinations (context-only prompting + similarity thresholds + fallback when context missing)
- Designs modular LLM workflows (ingestion, embeddings, retrieval, generation) with clear objectives
- Evaluates LLM systems with measurable metrics (accuracy, latency, retrieval relevance, hallucination rate) and iterative prompt/retrieval tuning
- Effective collaboration with non-technical business analysts via requirements translation, demos, and feedback loops
- Delivered a containerized Python API service (Docker) for easier scaling/integration
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