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Sohan Thakur
Mid-level Software Engineer specializing in AI and full-stack healthcare platforms
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About
Built and deployed a RAG-based clinical knowledge assistant at GE Healthcare to help clinicians query large volumes of messy, unstructured clinical documents with grounded, cited answers. Hands-on across the full stack (OCR/ETL, de-identification for PHI, Azure OpenAI embeddings, Cosmos DB indexing, FastAPI/Django) with production monitoring via LangSmith and performance tuning through batching and index optimization.
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Key Strengths
- Built and deployed a production RAG-based clinical knowledge assistant at GE Healthcare
- Strong clinical-document ETL and OCR cleanup to improve retrieval quality (tables/headers/notes issues)
- Implemented PHI leakage prevention via lightweight de-identification before LLM usage
- Performance optimization for large-scale embeddings via batching and Cosmos DB index tuning
- End-to-end AI workflow design with measurable criteria (retrieval/rank/generate, citations, safety constraints)
- Production monitoring and drift detection using LangSmith with alerting and graceful degradation
- Effective collaboration with non-technical clinical stakeholders to define queries and acceptance criteria
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