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Pavan Punna
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and healthcare-fintech AI
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About
Built and owned a production GPT-4 RAG assistant for clinical and enterprise query resolution, taking it from initial experiment to deployment, monitoring, and iterative improvement. Their work cut resolution time from 45 minutes to under 2 minutes, achieved roughly 95% accuracy, and scaled to thousands of additional monthly queries while emphasizing safety and trust in a sensitive clinical domain.
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Key Strengths
- Owned end-to-end production GPT-4 RAG system from prototype through deployment and monitoring
- Strong LLM evaluation and safety design with offline benchmarks, grounding checks, citation validation, and fallback flows
- Delivered major efficiency gains by reducing query resolution time from 45 minutes to under 2 minutes
- Improved response accuracy to around 95% through iterative monitoring and feedback loops
- Scaled AI assistant to handle thousands of additional queries monthly
- Deep experience productionizing GenAI systems with latency, cost, quality, and safety tradeoff management
- Built modular Python/FastAPI services that improved integration speed and system reliability
- Applied human-in-the-loop workflows appropriately for sensitive clinical use cases
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