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Sai Rahul Dasari
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and healthcare RAG systems
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About
Built and deployed a production clinical claim validation RAG system at GE HealthCare that automated nurses’ patient-history/claims checks, cutting manual review time by ~65%. Designed the full stack (retrieval, embeddings, Pinecone, prompt/verification guardrails, FastAPI backend) with PHI-compliant anonymization via NER and orchestrated pipelines using Airflow, Azure ML Pipelines, and MLflow with drift monitoring.
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Key Strengths
- Built and deployed a clinical claim validation RAG system in production (Azure ML)
- Reduced manual nurse review time by ~65% through automation
- Strong hallucination-mitigation approach (strict retrieval + structured prompts + verification/fallback)
- Designed PHI-safe workflows using anonymization with an NER model
- End-to-end orchestration of RAG pipelines with Airflow (ingestion, anonymization, embeddings, Pinecone updates)
- Production monitoring and remediation for accuracy/latency/drift (eval runs, API logs, retrieval/embedding drift; rollback/re-embed/prompt adjust)
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