I am a Senior Salesforce QA Automation Engineer & SDET with 5+ years of experience specializing in building robust, deterministic automation frameworks with Playwright and TypeScript. I have successfully scaled test suites for Salesforce Sales & Service Cloud, reducing regression test cycles by 40% and eliminating flakiness. Focused on driving continuous integration (CI/CD) and delivering high-velocity, production-ready quality engineering at enterprise scale.
Early in his career, Naveen saw the limitations of traditional Selenium-based testing within the Salesforce ecosystem — flaky tests, slow execution, and high maintenance overhead were slowing down agile delivery. That led him to adopt Playwright and TypeScript, prioritizing fast, reliable, headless test execution over brittle legacy approaches.
His core focus is transitioning teams away from fragile legacy Salesforce test suites toward deterministic, CI/CD-integrated automation. Using GitHub Actions and Docker, he builds regression pipelines that run automatically on every code push, reducing manual QA effort and shortening release cycles.
Across roles at Capgemini and TestVagrant Technologies, Naveen has led Salesforce QA for large enterprise programs, including the Complaint Management Operating System for ANZ Bank and full-cycle Sales and Service Cloud QA for Aldar in Dubai. This work included migrating legacy test suites to modular Playwright architectures, reducing regression cycles by 40% and eliminating recurring test flakiness.
Naveen holds the Salesforce Certified Platform Developer I and II, Salesforce Certified Associate, and Salesforce Certified AI Associate credentials, giving him a developer's perspective when testing CRM features, integrations, and REST APIs — not just the UI, but the underlying data contracts and service behavior.
Outside of client work, Naveen maintains several open-source projects on GitHub, including small utility tools such as a native Swift menu-bar media manager. His approach to quality engineering is summed up in his own words: "Studies in validation, stability, and automated execution" — building systems that catch problems before they reach production.