I’m a Java Full Stack Developer with 4+ years of experience building scalable, secure, and high-performance applications across cloud-native environments. I specialize in designing microservices architectures, high-throughput APIs, and responsive front-end platforms used in high-volume transaction systems.
Experience
2026 — Now
2026 — Now
United States
• Drove a 30% reduction in API response latency by refactoring legacy services to asynchronous Spring WebFlux–based reactive architecture, improving UX and customer satisfaction.
• Engineered cloud-native microservices for order management using Spring Boot, AWS Lambda, and Docker containerization, improving horizontal scalability, system resilience, and reducing infrastructure cost by 22%.
• Built responsive web dashboards with React, Redux, and TypeScript frameworks, increasing daily user engagement by 47% through real-time updates, dynamic state management, and intuitive data visualizations.
• Engineered scalable API integrations with RESTful services and GraphQL endpoints, enabling seamless cross-platform communication between legacy systems and cloud-native services.
• Enhanced CI/CD pipelines with GitHub Actions, slashing deployment time, enforcing quality gates using SonarQube, and drove cross-team adoption of automated testing with JUnit and Cypress, resulting in 25% fewer defects.
2023 — 2023
2023 — 2023
Mumbai
• Led architecture and delivery of high-volume payment orchestration microservices using Java, Spring Boot, Kafka, and Node.js, sustaining millions of daily transactions with 99.98% uptime while improving API throughput by 35%.
• Engineered secure payment workflows by implementing Spring Security, JWT, OAuth2, Tokenization, and PCI-compliant standards, significantly reducing security risk vectors and strengthening compliance posture.
• Optimized backend performance by tuning PostgreSQL queries, MongoDB indexing strategies, and Redis caching layers, reducing reconciliation query time by 40% and lowering API latency across core services.
• Modernized checkout and transaction interfaces using React, Angular, Redux, HTML5, CSS3, JavaScript, and Material-UI, driving an 18% increase in payment success and conversion rates.
• Containerized and deployed microservices using Docker, Kubernetes, and AWS ECS, enabling zero-downtime deployments, improving fault isolation, and reducing rollback incidents by 20%.
• Integrated RESTful and GraphQL APIs for real-time transaction insights and system interoperability, reducing redundant frontend API calls by 30% and improving data consistency.
• Strengthened DevOps and quality engineering by implementing CI/CD pipelines, Selenium-based E2E automation, 85% unit test coverage, and AWS CloudWatch monitoring, improving release stability and reducing incident response time.
2022 — 2022
2022 — 2022
Mumbai
2020 — 2022
2020 — 2022
• Architected and deployed scalable backend services using Java, Spring Boot, Python, JPA, and PostgreSQL, enabling secure client onboarding and improving onboarding efficiency by 28% while reducing SLA penalties.
• Designed and exposed high-performance REST APIs integrated with MongoDB and Redis, improving data retrieval speeds by 45% and strengthening overall system responsiveness.
• Implemented robust authentication and authorization using OAuth2 and JWT, reducing unauthorized access incidents by 60% and enhancing enterprise security posture.
• Developed responsive and modular UI components using React.js, Angular, HTML5, CSS3, JavaScript, and Bootstrap, accelerating feature delivery cycles by 35%.
• Automated and streamlined CI/CD pipelines using Git, Jenkins, and Docker, cutting release cycles from bi-weekly to 3 days and improving deployment consistency.
• Led cloud migration and infrastructure modernization to AWS (EC2, RDS, S3) and Azure AKS, reducing infrastructure costs by 20% while improving scalability and service reliability.
• Improved production stability by implementing ELK-based logging, distributed monitoring, and performance tuning for Node.js and Java microservices, reducing defects by 25%, improving mean time to detect incidents by 45%.
Education
Clemson University
Master's degree
Vellore Institute of Technology