Architected and developed a microservices-based PAN registration platform at Mastercard, enabling seamless integration across diverse customer systems and downstream payment domains through event-driven data propagation. Processing 100K+ daily requests with 99.9% uptime.

Key Responsibilities

• Designed and developed Spring Boot RESTful APIs integrated with API Gateway and Akamai CDN, processing 100K+ daily requests with 99.9% uptime for customer onboarding services
• Built event-driven architecture using Apache Kafka, implementing RBAC with OAuth 2.0 to securely propagate financial transaction data across distributed microservices
• Optimized Spring Batch processing pipelines, reducing execution time by 20% and improving system reliability through automated testing achieving 95%+ test coverage
• Implemented resilience patterns including retries, timeouts, and idempotent API design to ensure fault-tolerant processing of high-volume financial transactions
• Designed and maintained OpenAPI/Swagger specifications for REST services, enabling standardized API documentation, contract validation, and cross-team integration
• Optimized Kafka topic configuration, partition strategies, and consumer group scaling to support reliable high-throughput event streaming across services
• Led adoption of Spring AI and Retrieval-Augmented Generation (RAG) enabling contextual analysis of PCF and Splunk logs directly within IntelliJ using MCP integrations, reducing debugging time by 30%
• Mentored engineers and introduced AI-assisted development workflows using GitHub Copilot Enterprise, improving development productivity by 25% while maintaining code quality standards
• Enhanced system observability with Splunk, Dynatrace, Micrometer, and Prometheus, reducing MTTR by 25%
• Supported and modernized legacy Mainframe/DB2 applications, facilitating cloud migration

Measurable Impact

• 20% reduction in batch job execution time across millions of daily transactions
• 95%+ test coverage via JUnit and Mockito, catching production regressions before release
• 25% reduction in MTTR through enhanced Splunk, Dynatrace, Micrometer, and Prometheus observability
• 30% reduction in debugging time via Spring AI and RAG-powered log analysis with MCP integrations
• 25% improvement in development productivity through GitHub Copilot Enterprise AI-assisted workflows
• Smooth mainframe-to-cloud migration for existing enterprise customers

Technologies

Led backend development for a high-availability online casino gaming platform, delivering scalable microservices capable of sustaining 1,000+ concurrent users with 99.9% uptime across live slot and table game sessions.

Key Responsibilities

• Engineered scalable microservices-based backend using Spring Boot and Docker, supporting 1,000+ concurrent users with 99.9% uptime
• Conducted technical design and requirement analysis, delivering 5+ games ahead of schedule
• Implemented real-time monitoring with Splunk and Dynatrace, reducing incident response time by 20%
• Led code reviews using SonarQube, ensuring 90%+ code quality compliance and reducing technical debt by 15%
• Designed and implemented JWT/OAuth-based authentication with Keycloak and OpenID Connect

Measurable Impact

• 1,000+ concurrent users sustained with 99.9% platform uptime
• 20% reduction in incident response time via Splunk/Dynatrace monitoring
• 5+ games delivered ahead of client deadlines through streamlined technical design
• 90%+ code quality compliance enforced via SonarQube, reducing technical debt by 15%

Technologies

Developed and optimized backend modules for a lending and leasing banking product, engineering Spring Batch workflows that processed thousands of daily financial transactions while maintaining 100% security compliance.

Key Responsibilities

• Engineered Spring Batch workflows to process thousands of transactions daily, reducing processing time by 25%
• Mentored a team of developers, providing technical guidance and code reviews, increasing productivity by 20%
• Conducted code and quality reviews using Checkmarx and SonarQube, ensuring 100% security compliance
• Authored technical design documents, reducing design phase time by 15%
• Implemented Apache Kafka for real-time event streaming with external systems

Measurable Impact

• 25% reduction in data processing time for daily financial transaction batches
• 20% improvement in team productivity through structured mentoring and code reviews
• 100% compliance with security and coding standards via Checkmarx and SonarQube
• 15% reduction in design phase time through authored technical documentation

Technologies

Built backend services powering online slot and table game experiences, developing the RESTful APIs and Kafka-based event processing foundations that the platform would later scale on.

Key Responsibilities

• Developed RESTful APIs with Spring Boot for high-availability gaming services
• Integrated Apache Kafka for real-time event processing and game state management
• Collaborated on technical design to deliver 3+ games on schedule
• Conducted code reviews to enhance code maintainability

Measurable Impact

• Successfully delivered 3+ casino games on schedule
• Established foundational Kafka event processing patterns used in later architecture
• Built high-availability REST APIs powering core gaming services

Technologies

Designed and developed backend services for a food chain management platform, building the order processing and database layer that reduced operational overhead for restaurant chain operations.

Key Responsibilities

• Developed backend services using Java Servlets and JSP
• Implemented and optimized MySQL database schemas
• Integrated JavaScript and HTML for dynamic front-end components
• Utilized Maven for build automation

Measurable Impact

• 25% reduction in order processing time through optimized request handling
• 30% improvement in data retrieval performance via MySQL query optimization

Technologies