 Engineered backend payment services using Java and Spring Boot, supporting authorization and settlement workflows for distributed payment systems handling over 2M secure daily financial transactions across multiple global payment platforms.

 Developed RESTful and gRPC APIs for merchant payment integrations, reducing API response latency by 35% and enabling reliable communication between internal payment services and external global partner platforms.

 Orchestrated event-driven data pipelines using Apache Kafka, enabling asynchronous transaction processing and supporting millions of high-volume payment events per day across distributed microservice environments.

 Optimized relational data storage by designing efficient schemas and indexing strategies in PostgreSQL.

 Streamlined build and deployment pipelines using GitHub Actions and Jenkins, enabling continuous integration and supporting 20+ automated deployments per week across production and staging environments.

 Implemented centralized logging and monitoring using Splunk, enabling real-time insights, alerting, and faster root-cause analysis across high-volume payment microservices, improving system reliability and reducing incident resolution time.

 Architected AI-powered knowledge retrieval systems using Retrieval-Augmented Generation pipelines and vector embeddings, enabling semantic search and context-aware information access across large enterprise documentation repositories.

 Enhanced system reliability and performance by implementing distributed caching using Redis, significantly reducing API latency by 35% for high-traffic production payment services and improving overall user experience.

 Constructed serverless event-processing workflows using AWS Lambda and API Gateway, supporting scalable cloud-native processing for asynchronous payment events triggered by external partner systems.

 Built backend telecom billing services using Java, Spring Framework, and Hibernate, supporting subscription lifecycle and invoicing operations for enterprise telecom platforms, ensuring reliable and efficient transaction processing.

 Transformed legacy applications by migrating monolithic systems to modular microservices architecture, improving system maintainability, enabling 30% faster feature deployment cycles, and reducing infrastructure and operational costs, saving approximately $25K annually.

 Designed REST-based service interfaces enabling seamless integration between legacy enterprise systems and modern cloud-native services used by 15+ internal and external applications.

 Established cloud-native infrastructure enhancements using AWS CDK and Serverless Framework, deploying scalable microservices with Kubernetes and OpenTelemetry, improving system reliability and reducing deployment failures by 30%.

 Deployed containerized backend services using Docker and Kubernetes, implementing CI/CD pipelines with Jenkins to automate builds and deployments, enhancing service reliability and maintaining 99.9% production uptime for enterprise applications.

 Executed automated testing workflows using JUnit, Mockito, and Postman, creating unit, integration, and API tests to ensure code reliability, improve system quality, and reduce defects across backend telecom billing microservices.

 Contributed to development of responsive web interfaces using React.js and modern JavaScript, integrating frontend components with backend APIs to improve user workflows and overall application usability.

 Created high-performance data services leveraging MongoDB and Apache Cassandra distributed databases, supporting terabyte-scale operational datasets for enterprise applications.