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Rubesh Phaiju
Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI
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About
Deloitte engineer who built and shipped AI-powered, Kafka-driven workflow automation for transportation/document processing, including LLM-based semantic search. Strong in production reliability (idempotency, offset management, retries), observability (Datadog/CloudWatch), and database performance tuning (PostgreSQL/Flyway), with measurable latency improvements.
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Key Strengths
- Built and operated Spring Boot microservices on AWS with Kafka-based distributed workflows
- Debugged and resolved intermittent Kafka event failures via idempotency, offset management, and retries
- End-to-end ownership of LLM-powered document processing and semantic search (design through monitoring)
- Designed agent/workflow systems with planning/execution/verification separation, step-level retries, and human escalation
- Production-grade observability and operations using Datadog and CloudWatch (logging/metrics/alerts)
- PostgreSQL schema design with Flyway migrations and performance tuning (composite indexes, join/CTE optimization)
- Reduced a slow reporting query from several seconds to under 500ms
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