✔ Engineer at Arkestro, an AI-driven predictive procurement orchestration platform, ensuring high-quality releases and supporting AI-driven savings of 2–5x and influencing 100% of spend.

✔ Designed and deployed a product-wide AI code review pipeline using Claude Code, with both automatic and on-demand modes, cutting developer review wait time by roughly 40% and now a formal step in the SDLC.

✔ Introduced automated test generation from Jira acceptance criteria using ChatGPT, giving the team test cases aligned to requirements before development completes.

✔ Built an AI-assisted RCA process using Slack AI with structured templates, reducing incident documentation time by around 50% and improving consistency across postmortems.

✔ Integrated Playwright MCP to provide enhanced execution context, enabling AI tools such as GitHub Copilot Agent and Claude Code to assist with test analysis and maintenance, resulting in a 30% reduction in debugging and fix time.

✔ Leveraged GitHub Copilot Agent and Claude Code for AI-assisted test generation, refactoring, and documentation, increasing test coverage by 25% and accelerating test development by 40%.

✔ Developed and executed automated test scripts using Playwright with TypeScript, integrated LambdaTest for cross-browser testing, and implemented GitHub Actions for CI/CD automation.

✔ Conducted API testing with Postman and performance testing using JMeter, ensuring systems performed optimally under various conditions.

✔ Utilized Datadog for monitoring, managed incidents via PagerDuty, and performed Root Cause Analysis (RCA) to resolve production issues and prevent future occurrences.

✔ Developed test automation using Test Complete and Selenium for web and mobile integration testing.

✔ Managed diverse production, stage, and test environments for seamless operations.

✔ Drove a 50% expansion in automation coverage for a multi-tier web platform using WebdriverIO (TypeScript) and Protractor (JavaScript).

✔ Reduced overall defects by 30% through root cause analysis using SQL and MongoDB scripting.

✔ Collaborated cross-functionally to capture sprint features and ensure comprehensive test coverage, improving quality criteria attainment by 20%.

✔ Tested back-end REST APIs using Swagger, Postman, and Karate Framework.

✔ Owned QA activities across the full SDLC including test strategy, automated script development, and defect tracking using Jira.

✔ Built and maintained automated front-end test scripts using Protractor and Jasmine; validated back-end API, SQL, MongoDB, and Solr changes.

✔ Led defect resolution coordination with engineering teams and maintained all QA documentation throughout the development lifecycle.

✔ Reduced critical defects by 20% through end-to-end testing and risk analysis on the NLS desktop application.

✔ Led the shift from manual to automated testing using Robot Framework and Selenium (Python), improving team efficiency by 40%.

✔ Built and maintained automated API and web application tests using Postman, Swagger, and Robot Framework; configured Jenkins for CI/CD execution.

✔ Performed performance and load testing using JMeter and BlazeMeter to validate application capacity and behavior.