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Sharanya Guduri
Mid-level Full-Stack Python Developer specializing in Healthcare IT
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Backend/AI engineer with Johnson & Johnson experience building data-heavy payer/claims analytics services (Python/FastAPI, PostgreSQL, AWS) and optimizing them under peak ingestion load via indexing/query tuning and caching. Also shipped an end-to-end RAG feature for clinicians to extract insights from unstructured clinical notes, using constrained prompts and retrieval-confidence guardrails to prevent hallucinations.
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Key Strengths
- Built production Python/FastAPI backend for payer & claims analytics (ingestion + real-time APIs) on AWS/PostgreSQL
- Performance debugging under peak load using metrics/logs; resolved latency via query/index optimization, caching, and connection-pool pressure reduction
- Strong PostgreSQL tuning: uses execution plans and access-pattern-driven composite indexes to eliminate sequential scans
- Shipped end-to-end RAG feature for clinicians (retrieval, embeddings, prompt design, app integration, deployment) with hallucination guardrails
- Designed reliable multi-step claims workflow with orchestrator + idempotent tasks, validation gates, and escalation on bad data
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