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Sammed Kamate
Mid-level Software Engineer specializing in FinTech and AI/LLM systems
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About
Backend engineer with experience in both regulated healthcare and finance: built a multi-agent RAG system to generate FDA regulatory approval documents for biomedical devices, improving retrieval accuracy via hybrid search (semantic + BM25) and hierarchical chunking. Previously at JPMorgan Chase, led a Java microservice refactor and AWS migration using Elasticsearch-first patterns, caching, and safe rollout strategies (parallel runs, canary, blue-green) in asset/wealth management.
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Key Strengths
- Designed multi-agent RAG system for FDA regulatory approval documentation with high accuracy requirements
- Improved search quality by moving from pure semantic search to hybrid semantic + BM25 keyword search
- Boosted retrieval performance via hierarchical chunking (improved recall/accuracy metrics)
- Led/owned microservice refactor and cloud migration (legacy to AWS) in a highly regulated finance environment
- Performance optimization through query refactoring (reducing joins/non-critical data), caching, and Elasticsearch-first retrieval
- Risk-managed migrations using parallel run comparisons, blue-green deployment, and canary rollout with real user validation
- Proactively identified rare edge-case data source issue impacting portfolio risk assessment; implemented targeted tests/logic fixes and received internal recognition
- Strong stakeholder-driven requirements discovery and systematic test scenario design (flowcharts/branch-based test cases)
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