Engineering Lead – Quality Assurance - Ness Digital Engineering - Bengaluru
(2020-09)
Lead quality engineering initiatives for enterprise web, mobile, and microservices-based platforms, driving automation, accessibility compliance, and AI-assisted testing practices across Agile teams.
- Led and mentored a 6-member QA team, establishing scalable quality engineering processes and automation standards across multiple Agile squads.
- Architected and implemented a BDD automation framework using Selenium WebDriver, Java, and Cucumber, reducing manual regression effort by 80%.
- Integrated automated test suites into CI/CD pipelines using Jenkins and TeamCity, enabling continuous testing for nightly and on-demand builds.
- Performed REST API and microservices testing using Postman and REST Assured, ensuring backend reliability and service contract validation.
- Led end-to-end functional, regression, integration, and accessibility testing, ensuring WCAG compliance using JAWS and NVDA screen readers.
- Managed defect lifecycle and quality reporting in JIRA, conducting root cause analysis and collaborating with product and engineering teams to improve product quality.
- Maintained Requirement Traceability Matrix (RTM) to ensure complete test coverage for sprint deliverables.
- Introduced AI-assisted QA practices using GitHub Copilot and ChatGPT to accelerate test case design, automation scripting, and defect analysis.
- Utilized ChatGPT for intelligent test scenario generation, edge case discovery, and exploratory testing support.
- Leveraged GitHub Copilot to improve automation development productivity, reducing scripting time for Selenium test cases.
- Used AI tools to generate test data and optimize test scripts, improving maintainability and reducing manual effort.
- Enabled QA teams to adopt AI-assisted debugging and root cause analysis, accelerating defect resolution.
- Promoted AI-driven Shift-Left testing practices, allowing earlier validation of requirements and test scenarios during sprint planning.
- Reduced regression cycle time by 80% through automation and AI-assisted test generation.
- Improved test coverage and defect detection in early stages of development.
- Increased automation development efficiency and team productivity through AI tools.
- Developed and implemented a test metrics dashboard that tracked key performance indicators such as defect density, test coverage, and automation rates, leading to data-driven decisions that improved overall testing efficiency by 25%.
QA Lead - CAT Technologies - Irving, Texas
(2019-06 - 2020-08)
Led QA efforts for the TaxAct modernization program, focusing on large-scale data migration and platform transformation.
- Directed QA strategy for data conversion from TAML to JSON architecture.
- Developed BDD-based automated regression suites using Selenium WebDriver (C#).
- Executed cross-browser and mobile testing using Sauce Labs and Appium.
- Performed REST API validation using Postman for backend services.
- Mentored QA engineers and improved collaboration between QA, development, and product teams.
- Implemented cloud-based testing solutions using platforms like Sauce Labs or BrowserStack to facilitate cross-browser testing, which improved test coverage across different environments and reduced testing time by 30%.
- Designed a comprehensive test automation architecture that includes modular test scripts, reusable components, and a centralized reporting system, resulting in a 50% reduction in test maintenance efforts and improved test execution speed.
Automation Engineer (V&V) - iGATE – Capgemini - Bangalore, India
(2014-07 - 2015-11)
- Developed automation test scripts using Selenium WebDriver, Java, and TestNG.
- Implemented Page Object Model automation framework to improve maintainability.
- Integrated test automation with Maven and Jenkins build pipelines.
- Performed system testing, GUI testing, and UAT validation.
- Conducted database validation using MySQL queries.
