Sr. Software Development Engineer in Test (SDET) with 9 years of experience in automation, API, and integration testing. Proficient in building scalable test suites, reducing release cycles, and improving product quality through early defect detection.
✔ 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.