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Shiva Maddoju
Mid-level Full-Stack Java Engineer specializing in cloud-native, event-driven systems
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About
Backend engineer with airline operations domain experience who modernized flight-ops systems from batch updates to real-time streaming on AWS (Kafka + Spring Boot microservices), improving latency and stability through metric-driven tuning and idempotency. Also shipped a production LLM decision-support component using RAG over operational logs and internal procedures, with strong guardrails and an evaluation/regression loop to reduce hallucinations and enforce grounding.
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Key Strengths
- Owned end-to-end delivery of real-time flight operations event processing (batch to streaming)
- Designed and deployed AWS-based microservice stack (Docker/Kubernetes) with Kafka ingestion and internal APIs
- Performance and reliability tuning using CloudWatch metrics (retries, dependency timeouts, latency)
- Improved peak-time throughput via Kafka consumer configuration and increased parallelism
- Implemented idempotency and duplicate-event handling for event-driven systems
- Built production RAG workflow using operational logs + internal documentation with vector retrieval
- Implemented LLM guardrails (confidence thresholds, rule-based validation, deterministic fallback, timeouts/monitoring)
- Established LLM evaluation loop with scenario-based test sets, quality metrics, manual review, and regression prevention
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