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Shuchi Shah
Senior Software Engineer specializing in Backend Systems and Generative AI (RAG)
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About
Backend engineer with experience building an end-to-end civic tech AI platform that ingests city council meeting videos, transcribes them with Whisper, and enables natural-language Q&A via a LangChain/FAISS RAG pipeline. Demonstrated strong systems thinking by tuning retrieval for accuracy/latency/memory (cutting response time ~3s→1s and memory ~500MB→25MB) and by safely migrating an ERP from monolith toward services using dual writes, reconciliation, and idempotency to protect financial workflows.
Experience
Education
Key Strengths
- Designed end-to-end civic-tech backend for meeting video ingestion + AI chatbot search
- Deep practical optimization of RAG tradeoffs (accuracy/latency/memory) using chunking, embeddings, FAISS PQ, and reranking
- Improved RAG response time from ~3s to ~1s and reduced memory from ~500MB to ~25MB
- Builds reliable, secure FastAPI services with strong validation, consistent error handling, and stateless scaling patterns
- Led incremental ERP monolith decomposition with parallel run, dual writes, reconciliation, and gradual traffic rollout
- Proactively prevented duplicate financial entries by implementing idempotency for retried payment/posting requests
- Implements defense-in-depth access control (token auth + RBAC + database row-level security)
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