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Shubham Chorage
Mid-level Software Engineer specializing in AI, full-stack development, and RAG systems
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Built and owned a production RAG search/Q&A platform at Data Integrity First for a client with a large, hard-to-search document library, deployed on AWS. Drove major adoption gains by adding source attribution (users trusted answers more) and improved system performance with guardrails, logging, and iterative chunking/OCR normalization—cutting fallback rate from ~22% to under 10%.
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Key Strengths
- Owned and shipped an end-to-end production RAG platform (architecture through AWS deployment)
- Improved adoption by adding source attribution to increase user trust
- Reduced fallback rate from ~22% to <10% via chunking and edge-case document handling iterations
- Implemented practical LLM guardrails (similarity thresholds, context-scoped prompting, query/response logging)
- Built robust document ingestion and normalization pipeline across messy formats (PDF, scanned/OCR, Word)
- Created a representative query test set (30–40 real queries) to evaluate retrieval relevance, groundedness, and attribution
- Diagnosed OCR-related retrieval failures and improved quality via preprocessing normalization
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