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Deepthi Mundarinti
Mid-level Generative AI Engineer specializing in decision intelligence and RAG for regulated enterprises
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Healthcare GenAI engineer who built a HIPAA-compliant, auditable RAG-based claims decision support system at Molina Healthcare, processing 3M claims and delivering major impact (48% faster manual reviews, 43% higher decision accuracy). Deep hands-on experience with LangChain orchestration, vector search (ChromaDB/FAISS), embedding fine-tuning, and safety controls (confidence scoring, rule validation, human-in-the-loop escalation) for clinical workflows.
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Key Strengths
- Built and deployed HIPAA-compliant LLM/RAG claims decision support system in production
- Scaled system to process 3M claims
- Reduced manual review time by 48% (claims review workflow)
- Improved decision accuracy by 43% while maintaining auditability/governance
- Improved retrieval precision via MPNet fine-tuning + hybrid retrieval with metadata filtering
- Mitigated hallucinations with confidence scoring, rule-based validation, and human escalation workflows
- Strong evaluation discipline (precision/recall, retrieval precision, grounding) plus post-deploy monitoring for drift/quality
- Effective cross-functional collaboration with non-technical clinicians and policy experts to drive adoption
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