CHANDRASHEKHAR REDDY
@chandrashekharreddy
I build AI-driven QA automation frameworks that accelerate reliable enterprise software releases.
What I'm looking for
At Crowe LLP, I build parallelized Playwright end-to-end automation frameworks for enterprise clients including SBA, IEDC, and Nucor. My work cut regression cycle time by 40% and supported 50+ releases with zero critical post-release defects.
I scale cross-browser Selenium WebDriver suites covering 10,000+ test cases across three browsers, reducing manual regression effort by 60%. I also design test cases, scenarios, and quality strategies that improve defect-detection coverage and reduce production escapes by 50%.
I partner closely with business stakeholders to plan UAT, author acceptance scripts, manage defect triage and re-testing, and secure formal sign-off before go-live.
I build AI-powered generators for test cases, scenarios, and quality strategies using Microsoft Copilot Studio and AI Studio, with human-in-the-loop verification for accuracy. I’ve also created MCP-based assistants and Power Automate workflows that reduce documentation lookup and manual QA effort.
Experience
Work history, roles, and key accomplishments
Built parallelized E2E test automation frameworks in Playwright, cutting regression cycle time by 40% and supporting 50+ releases for enterprise clients. Planned and coordinated UAT cycles, developed AI-powered test generators, and automated QA workflows with Power Automate.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
Bachelor of Technology, Computer Science Engineering (AI/ML)
Grade: 8.0/10 CGPA
Bachelor of Technology in Computer Science Engineering with a focus on AI/ML, achieving a CGPA of 8.0/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/chandudcrJob categories
Skills
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