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Gayatri Devi Dasari
Mid-level GenAI/ML Engineer specializing in LLM systems and RAG chatbots
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About
Built and shipped a production agentic LLM analytics platform that lets non-SQL business users query relational databases in plain English via a RAG + LangChain/LangGraph workflow and FastAPI service. Emphasizes safety and reliability with guardrails (validation/access control), testing/evaluation frameworks, and performance optimization (caching, monitoring, Dockerized scalable deployment), reducing dependency on data teams and speeding analytics turnaround.
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Key Strengths
- Built and deployed a production LLM-powered analytics assistant (NL to optimized SQL) for business users
- Designed end-to-end RAG + agent workflow with guardrails (query validation, access control) to prevent unsafe/expensive DB operations
- Strong reliability/performance focus: latency reduction via caching, prompt optimization, robust error handling, monitoring
- Structured agent design and evaluation approach (unit + scenario tests, offline eval datasets, measurable metrics: accuracy/latency/cost)
- Effective collaboration with non-technical stakeholders; iterated on outputs and UX to align with business definitions of success
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