Rachana Munugala

About Rachana Munugala

I’m a Software Engineer with 4+ years of experience building scalable backend systems and distributed microservices across insurance and SaaS platforms. I specialize in Java, Spring Boot, event-driven architectures, and cloud-native development, with hands-on experience designing secure APIs and high-performance data systems.Currently at MetLife, I develop enterprise policy and claims microservices that support high-volume underwriting workflows. My work includes building REST APIs, Kafka-based event pipelines, and AI-assisted retrieval workflows, improving system reliability, performance, and operational efficiency.Previously at Infinite Infolab, I engineered backend services for SaaS CRM and analytics platforms, helping reduce onboarding time and improve system scalability through microservices architecture and automated CI/CD pipelines.My technical stack includes Java, Spring Boot, Python, Kafka, PostgreSQL, Redis, AWS, Docker, and REST APIs, with experience in distributed systems, API security (OAuth2/JWT), caching strategies, and asynchronous processing.I’m passionate about building high-performance backend platforms, AI-enabled workflows, and resilient cloud systems that solve real business problems at scale.

Experience

1. Software Engineer - Backend

   MetLife

   Jan 2025 — Present

   Developed enterprise policy and claims microservices using Java and Spring Boot supporting high-volume underwritingworkflows, integrating LLM-driven rules interpretation that reduced manual guideline lookup effort by 12%.• Designed secure REST APIs for policy issuance and claims tracking using Spring Boot, OAuth2, and RBAC controls,serving thousands of daily API requests while reducing support escalations by 9%.• Architected retrieval-augmented generation (RAG) assist workflows using vector embeddings across policydocumentation repositories, improving analyst response accuracy and accelerating support resolution.• Optimized PostgreSQL queries across large policy datasets and introduced Redis caching with AI-assisted anomaly alerts,reducing query latency by 34% and recurring performance incidents by 15%.• Implemented Kafka-based asynchronous event pipelines processing concurrent policy lifecycle updates with ML anomalyvalidation, achieving 99.9% service reliability and reducing reconciliation effort by 17%.• Owned backend service lifecycle from development through production deployment using Docker and AWS CI/CDworkflows, collaborating cross-functionally with product, QA,\\ DevOps teams to deliver audit-ready enterprise systems.

Education

• Syracuse University

  Master's degree, Computer Science

• Sri Chaitanya Junior College, Bhaskar Bhavan

  Intermediate

• GITAM Deemed University

  Bachelor's degree, Computer Science