Rakesh Munaga

About

Full-stack engineer building real-time internal banking operations dashboards (Java/Spring Boot microservices + React/TypeScript) with Kafka-based streaming and post-launch performance optimizations. Also shipped a production internal AI support assistant using RAG (Confluence/PDF/support docs ingestion, embeddings + vector DB retrieval) with guardrails, evaluation loops, and observability to reduce hallucinations and prevent regressions.

Experience

Education

Key Strengths

• End-to-end ownership of full-stack features (requirements → API/microservices → React UI → launch/iterate)
• Real-time systems design for banking operations using Kafka streaming with caching tradeoffs
• Performance tuning based on user feedback (SQL optimization, server-side pagination, advanced filters)
• Production RAG assistant implementation (ingestion → embeddings → vector DB retrieval → prompt augmentation)
• Guardrail design to reduce hallucinations (relevance thresholds, confidence scoring, fallbacks, prompt constraints)
• LLM evaluation loop design using real user queries, human review, and automated regression tests
• Built reliable/observable data pipelines for messy documents with async processing, queues, logging, monitoring, alerting