- Full Stack Developer with 5 years of experience building scalable, high-performance enterprise applications using Agile methodologies.
- Skilled in both frontend and backend development, including designing RESTful APIs and implementing microservices.
- Experienced in architecting cloud-native applications and working with modern cloud platforms.
- Strong DevOps background with hands-on experience in CI/CD automation, containerization, and cloud deployments.
- Proficient in test automation, using tools such as Selenium, Protractor, Jasmine, Karma, and Cucumber.
- Experienced in applying BDD/TDD practices to ensure high-quality, reliable software delivery.
- Architected secure, event-driven microservices using Spring Boot, Spring MVC, and Kafka to support high-volume transaction and payment workflows, processing 2M+ daily events with sub-second latency and high fault tolerance.
- Engineered enterprise authentication and authorization layers with Spring Security and JWT, enforcing role-based access across distributed APIs and reducing unauthorized access attempts by 40% while meeting internal security and audit controls.
- Created responsive frontend applications using React.js and React Hooks for internal risk and compliance dashboards, improving real-time data rendering performance by 35% and enhancing analyst productivity.
- Automated end-to-end CI/CD pipelines using GitHub Actions, integrating JUnit testing, build validation, and container image deployment to AWS EKS and EC2, reducing release cycles by 45% and minimizing production deployment failures.
- Integrated ChatGPT APIs via LangChain into internal developer and operations tooling to accelerate incident diagnostics and knowledge retrieval, cutting mean time to resolution (MTTR) by 25% while adhering to data governance policies.
Graduate Assistant|Software Engineer — University of Texas at Arlington 📍 Arlington, Texas, USA | 🗓 09/2023 – 12/2024
- Implemented interactive dashboards using React JS, Node.js, and SQL to analyze Texas city budgets, achieving a 30% reduction in budget planning time.
- Applied AI-assisted tools (Cursor AI, ChatGPT) to accelerate UI development and debugging, increasing overall productivity.
- Maintained UI applications, fixed bugs, and improved user engagement by 20% through optimized JavaScript, HTML, and CSS components.
- Honored as a member of the UTA Texas Gamma Chapter of Upsilon Pi Epsilon for continuous academic excellence.
- Resolved critical bugs, enhanced features using Agile methodologies, and used Scrum, Kanban, JIRA, and Confluence to reduce project delays by 90%.
- Deployed event-driven microservices using Docker, Kubernetes, and AWS services (EC2, ECS, EKS, Elastic Beanstalk, Lambda, Route53, S3) with Kafka, Pub/Sub, SQS, and SNS—ensuring 99% API uptime.
- Created dashboards using Node.js, TypeScript, Angular Highcharts, and REST APIs to visualize vehicle metrics from the Mindsphere microservices platform, improving client decision-making by 15%.
- Built UI applications using Angular, Node.js, and TypeScript, reducing page load time by 30% and improving user management by 40%.
- Designed single-line diagrams using Go.js for electrical UI applications, ensuring 100% client requirement compliance.
- Engineered logistics solutions using Spring Boot microservices, Spring MVC, JDBC, Spring Batch, Scheduler, Hibernate, JMS, and Spring Data JPA with PostgreSQL—achieving 40% faster data processing and 99.9% job scheduling reliability.
- Developed Spring Boot microservices for Industrial IoT on the Insights Hub (Mindsphere) platform, boosting data collection efficiency by 35%, reducing processing time by 30%, and accelerating insights delivery by 25%.
- Automated IoT report generation using Spring Scheduler, secured APIs with OAuth2, and delivered outputs in JSON/XML, increasing data security compliance and reducing unauthorized access risk by 50%.
Master of Science — Computer Science 4.0/4.0 | University of Texas at Arlington, United States | 2023
Master of Technology — Data Science 8.17/10 | BITS Pilani, India | 2021
Bachelors of Science — Computer Science 8.25/10 | SRM University, Chennai, India | 2019