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Dinesh Battula
Mid-level Full-Stack Java Developer specializing in microservices and cloud-native systems
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About
Senior full-stack engineer with strong healthcare domain experience who has shipped an Azure OpenAI RAG-based patient medication support chatbot to production, driving ~10K queries/month and a reported 38% reduction in call center volume. Also builds polished real-time React/TypeScript pharmacy tooling and operates large-scale Python/Spark ETL pipelines (~12M records/day) with strong API design, observability, and cloud deployment experience across Azure/Kubernetes and AWS.
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Key Strengths
- Shipped AI patient support chatbot end-to-end (Spring Boot + Azure OpenAI RAG) with secure APIs and production deployment
- Measured impact delivery: ~10K medication queries/month and ~38% reduction in call center volume for common medication questions
- Designs reliability/accuracy guardrails for LLM features (context-grounded answers, 'I don’t know' behavior, conversation logging/review loop)
- Builds efficient real-time React dashboards (WebSockets + Redux Toolkit normalization, batched/filtered events, lightweight payloads)
- Production-grade API design in Python (token auth, RBAC, versioning, consistent error formats)
- Operates data/ETL systems at scale (Spark pipeline processing ~12M records/day) with tests, structured logging, and metrics
- PostgreSQL schema and performance optimization for analytics workloads (indexing strategy, composite indexes, execution-plan-driven iteration)
- Hands-on cloud deployment and incident/scaling remediation on AWS (profiling, batch splitting, query/index tuning, concurrency/timeout tuning)
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