Narendra Gangwar

Contributed to migrating enterprise applications to Kubernetes on AWS EKS, improving horizontal scalability, high availability, and deployment consistency. Designed backend services in Java/Spring Boot and built document retrieval and semantic search RAG capabilities using Spring AI and vector search, including citation-based conversational REST APIs.

Led backend design and delivery for an enterprise model governance platform, owning modules end-to-end from requirements through production support. Built highly available REST APIs with validation, auditability, and role-based access control, and improved API latency by 40% via PostgreSQL query optimization and Redis caching, while strengthening fault tolerance with circuit-breaker patterns and m

Owned backend services supporting payment processing and inventory management, designing Kafka-driven asynchronous event workflows to decouple microservices and improve scalability and throughput. Implemented Resilience4j circuit breakers/retry for fault tolerance, built secure REST APIs with Spring Security (JWT) and Kong API Gateway, and improved performance using Aerospike caching.

Developed microservices for banking transaction automation and BNPL workflow integration, implementing Kafka-based event processing and batch workflows for transaction lifecycle management. Achieved 80%+ unit test coverage using BDD with Cucumber, and handled production incidents with root cause analysis to reduce recurring failures.

Developed backend services for billing, payment, and credit collection platforms across telecom and financial domains, building secure APIs and batch processing for recurring workflows. Performed production incident root cause analysis and optimization work, including improving shipping report query performance by ~25% and enhancing concurrency in batch processing to increase throughput.

Developed web applications for school management and business management platforms, designing backend modules with reporting and database integrations. Built responsive user interfaces and optimized SQL queries for performance while delivering client-requested enhancements and production fixes.

Grade: GPA: 71%

Completed a Master of Computer Applications at APJ Abdul Kalam Technical University (2014–2016), achieving a GPA of 71%.

Grade: GPA: 66%

Completed a Bachelor of Computer Applications at MJP Rohilkhand University (2011–2014), achieving a GPA of 66%.