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Vinay Sanagapalli
Mid-level AI Engineer specializing in LLM agents and RAG systems
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About
AI/ML engineer at MRI Software focused on taking LLM and RAG systems from prototype to reliable production. Notable work includes an AI automation system for migrating 1200+ legacy pages with 75-80% manual effort reduction, plus enterprise document-querying and reusable Python LLM infrastructure that cut lookup time by 70% and improved team velocity by 30-40%.
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Key Strengths
- End-to-end ownership of production LLM systems from experimentation to deployment and monitoring
- Built AI automation for legacy page migration supporting 1200+ pages
- Reduced manual effort by 75-80% through AI-driven workflow automation
- Improved generated page consistency at production scale
- Strong mitigation of LLM hallucinations using validation layers, structured outputs, and RAG grounding
- Production hardening with retries, logging, observability, and guardrails
- Shipped enterprise RAG document querying feature that reduced lookup time by 70%
- Balanced latency, cost, and quality in production RAG systems
- Reduced RAG latency by ~40% through caching, chunk tuning, and selective retrieval
- Built reusable Python LLM service layer that improved team delivery speed by 30-40%
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