Working as a QA Engineer in the Supply Chain domain, with recent involvement in AI agentic systems testing. Key Responsibilities: •Built and maintained Hybrid Selenium Automation Frameworks incorporating Page Object Model (POM) and Data- Driven design, boosting regression test coverage by ~40%. •Leveraged Kiro to auto-generate Selenium + Java + TestNG test scripts, reducing script authoring time by ~35% and enabling faster regression suite expansion. •Performed REST API testing using Postman and Rest Assured across supply chain services, uncovering critical data-flow defects pre-production and preventing downstream system failures. •Reduced manual regression effort by ~40% by automating repetitive test cases and using AI tooling to identify high- risk areas for prioritized test coverage. •Validated AI agentic workflows through structured exploratory and manual testing on a system under active development; collaborated with developers to define acceptance criteria and test boundaries. •Used AI-driven prompt engineering and leveraged GitHub Copilot to generate test scenarios, boundary value cases, and edge-case coverage recommendations from requirements and user stories. •Managed test cases and execution cycles in TestRail; performed defect management by tracking, triaging, and closing defects in Azure DevOps Boards aligned with user stories and Agile sprint cycles. •Conducted cross-browser testing across Chrome, Firefox, and Edge; performed SQL testing by executing queries for backend data validation. •Executed automated test suites through Jenkins CI/CD pipelines. •Executed end-to-end Functional Testing, Sanity Testing, Smoke Testing, Integration Testing across supply chain modules, ensuring release readiness and zero critical defect leakage at every sprint cycle. •Contributed to test strategy and requirements analysis for complex cross-module supply chain integration scenarios, enabling early defect detection and improved traceability.