Built a database-driven input validation system using Java and Spring Boot with Redis caching to enforce client-specific rules for multiple banking partners (ICICI, HDFC, AU, IDFL, Sundaram), cutting validation latency and boosting request processing efficiency by 50%.

Designed and exposed RESTful APIs consumed by downstream banking services, ensuring consistent response formatting and robust error handling across all endpoints.

Boosted system performance by 10x by integrating Redis caching with Redis Template, minimizing redundant database calls across microservices.

Resolved 2200+ static analysis blockers, critical issues, and code smells in a CI/CD pipeline, lowering technical debt and raising the overall code quality score.

Debugged and fixed 15+ high-priority production incidents, increasing application stability and cutting user-reported issues by over 30%.

Optimized high-traffic database queries, slashing average response times by 15% under peak load.

Standardized global exception handling using Spring Boot exception handler, eliminating duplicate error logic and doubling consistency across REST APIs.

Integrated secure payment workflows with Stripe API and Spring Boot backend, lifting transaction success rate by 25% and ensuring reliable asynchronous processing.

Architected modular service-layer components using Spring Data JPA and MVC patterns, raising code reusability by 20% and cutting redundant data processing by 15%.

Executed background processing logic for async tasks using Spring Async and scheduled jobs, increasing system responsiveness under load by 10%.