Architected and developed robust, high-performance Microservices using Java and Spring Boot, with a specific focus on designing for testability and maintainability from the initial architecture phase.

Drove Continuous Integration and Continuous Delivery (CI/CD) implementation using Jenkins/GitLab, integrating comprehensive automated quality gates to ensure seamless and zero-defect deployments.

Utilized Advanced Java proficiency to write clean, reusable, and optimized codebase, performing continuous code reviews and refactoring, which directly benefited test script maintainability and performance.

Served as the key contributor and flag bearer for test automation initiatives across multiple project teams within the practice, driving high test coverage and the adoption of standardized quality engineering processes.

Designed, developed, and maintained comprehensive Selenium WebDriver automation suites for critical web applications, resulting in a significant reduction in manual regression testing efforts.

Spearheaded the development of JUnit unit test cases across various projects, ensuring high Java code quality and performing rigorous debugging for complex issues.

Gained hands-on experience with Appium automation for testing mobile devices, ensuring full end-to-end quality and coverage across diverse platforms (desktop and mobile).

Designed and implemented new features on a client's product with 15+ applications within a microservice architecture.

Identified, diagnosed, cleaned, and refactored the legacy codebase into a modern, scalable, resilient solution.

Built and deployed new product services to enhance and optimize the performance of different applications.

Designed, architected, and led the development of a microservices-based application interacting with Deep Learning models (AI) on multiple fronts.

Designed and executed multiple features, functionalities, and services to improve the microservices-based application.

Worked closely with the Ops team to execute Kubernetes on the project.

Implemented microservice concepts like network discovery, message broker, naming server, etc., effectively used multithreading, resource efficiency, and scaling, and implemented Redis caching.

Designed and contributed to the development of an asset tokenization use case.

Participated in building a new productivity accelerator framework to expedite delivering standard codebases on projects.

Implemented framework solutions to generate standard, scalable, maintainable code designed for end-to-end multilingual applications.

Coordinated with teams to optimize code and solutions for production deployment.