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Shravan Yadav
Mid-level Software Engineer specializing in cloud and FinTech systems
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Backend/AI engineer who has built and operated production Node.js/Express services on AWS (Postgres/Redis) and has hands-on experience shipping an AI-powered support agent using RAG (Pinecone + LLM) with grounding checks and evaluation for hallucination rate. Demonstrates strong production reliability/performance debugging, including reducing peak latency from ~2s back to sub-300ms through query and caching optimizations, plus designing agent workflows with retries and human-in-the-loop escalation.
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Key Strengths
- Debugged and resolved production API latency regression (2s -> <300ms) via query batching/joins, indexing, caching, and pagination
- Strong performance troubleshooting methodology (reproduce, isolate layer, optimize one variable at a time, benchmark)
- Designed and shipped AI support agent using RAG with grounding checks and streaming responses
- Built operational guardrails for AI workflows (validation, monitoring, fallbacks/escalation when sources missing)
- Designed reliable multi-step agent workflows with planning/execution separation, validation gates, retries, and manual escalation
- Improved slow reporting query performance using execution plan analysis and targeted indexing (minutes -> <1 minute)
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