Rohith Akepati

About

Full-stack Java engineer (4+ years) who led end-to-end modernization of high-latency order management systems into cloud-native reactive microservices (Spring WebFlux) and built real-time React/Redux dashboards, reporting 99.98% uptime and 22% infra cost savings. Also headed a production RAG-based Order Support Bot at Dell Technologies with embeddings + MongoDB semantic search, automated validation and human fallback, plus CI/CD-driven LLM eval loops to reduce hallucinations.

Key Strengths

• End-to-end modernization of legacy order management services to cloud-native reactive microservices (Spring WebFlux)
• Built real-time dashboards (React/Redux) for data visualization
• Improved API latency target (30% reduction) while maintaining 99.98% uptime under heavy load
• Implemented CI/CD quality gates (GitHub Actions, SonarQube, JUnit, Cypress) leading to 25% fewer production defects
• Scaled services via Docker + AWS Lambda; reported 22% infrastructure cost savings
• Deep reactive-systems expertise (eliminating blocking calls using R2DBC/WebClient; BlockHound testing)
• Improved observability with ELK + distributed tracing/correlation IDs; reduced MTTD by 45%
• Led production RAG-based Order Support Bot (ingestion pipeline, embeddings, MongoDB semantic search) with guardrails (validation, confidence thresholds, human fallback)
• Established LLM evaluation loops in CI/CD; used eval findings to reduce hallucinations via metadata-filtered retrieval
• Designed high-throughput payment orchestration pipeline (Java/Kafka/Node.js) processing millions of transactions/day with ELK + CloudWatch observability

Experience

Education

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