

Senior SDET with 8+ years of experience driving quality engineering across distributed systems, owning end-to-end test strategy, and building scalable automation frameworks for Web, API, Mobile, and Cloud (AWS) platforms.
Experienced in leveraging AI-powered tools (Augment, GitHub Copilot, Cursor AI, and intent-driven testing) to accelerate automation, improve code quality, reduce maintenance overhead, and enable faster debugging.
Focused on driving AI-first QA practices, enhancing engineering productivity, release confidence, and scalable quality systems through cross-functional leadership and release ownership.
•Design and perform functional testing, load testing, integration testing, API testing and end to end testing to
verify product quality and release readiness.
•Proactively identified, debugged, and resolved automation issues; raised pull requests (PRs) in developer
repositories, ensuring code quality and application stability.
•Utilized Grafana dashboards for real-time debugging and root-cause analysis, ensuring faster issue resolution
across distributed systems.. Set up alerts on signalfx.
•Analyzed and fixed UI element locators in the automation framework, minimizing test flakiness, enhancing
Selenium script reliability, and improving CI/CD test success rate.
•Adopted AI-driven testing practices using Augment, Copilot Chat, and Cursor AI to accelerate automation
development and reduce manual effort by ~30–40%.
•Used Intent-based analysis tools (Intent by Augment) to derive test scenarios directly from feature requirements,
improving test coverage and reducing missed edge cases.
•Leveraged GitHub Copilot Chat for intelligent debugging, code refactoring, and faster PR reviews, reducing
review cycles.
•Integrated AI tools into daily QA workflows for: Generating API test scripts Debugging flaky Playwright tests, Improving locator strategies.
•Improved automation efficiency by combining AI-assisted scripting with reusable framework utilities.
@Clari/Salesloft