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Tharun Chowdary Malepati
Mid-level AI/ML Engineer specializing in GenAI, NLP, and production MLOps
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About
AI/LLM engineer who built and deployed a production healthcare RAG chatbot ("DoctorBot") with strict medical safety guardrails, an 85% confidence-gated verification layer, and latency optimizations that cut responses from ~8s to ~2–3s. Also worked on finflow.ai to generate finance/banking test cases from BRDs, collaborating closely with non-technical domain stakeholders, and has hands-on orchestration experience with LangChain/LangGraph and agentic evaluation/monitoring practices.
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Key Strengths
- Built and deployed a healthcare RAG chatbot (DoctorBot) to handle routine patient inquiries
- Strong focus on safety/reliability for medical AI (anti-hallucination guardrails; no diagnosis/prescribing)
- Implemented response verification with confidence gating (only show answers above 85% confidence)
- Performance optimization for RAG latency via semantic caching and pre-indexing (reduced ~8s to ~2–3s)
- Production-grade evaluation approach (golden dataset, automated tests, LLM-as-judge, A/B testing)
- End-to-end instrumentation and monitoring of LLM workflows (prompts, latency, token usage, step-level hooks)
- Experience orchestrating multi-step RAG pipelines with LangChain (intent classification, retrieval, reranking, citations)
- Able to translate technical concepts for non-technical stakeholders; ran regular feedback loops with domain experts
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