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Lead Automation Engineer with 8+ years in Manual, Automation, and AI-Assisted Testing
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Assessing your cultural and operational fit
Senior QA Engineer with 7+ years of experience in Manual and Automation Testing across Web, Mobile, and API applications. Strong expertise in test planning, test case design, regression testing, defect management, and release validation. Experienced in Agile environments with hands-on exposure to Selenium (Python), Playwright (Basic), API testing, and AI-assisted testing tools. Proven ability to lead QA teams, improve product quality, and ensure stable production releases. Experienced in working with AI tools like ChatGPT, Claude Code, Gemini, GitHub Copilot, and AI Agents for test case generation, requirement analysis, automation script generation, debugging, and productivity improvements.
Gujarat Technological University (GTU)
Bachelor of Information Technology · Information Technology
N/A – June 30, 2018
Munaffa
Senior QA Engineer
June 1, 2020 – October 1, 2020
Rajkot, Gujarat, India
Alian Software
Lead QA Engineer
April 1, 2020 – Present
Anand, Gujarat, India
Bitlogic Infoway Pvt. Ltd.
QA Engineer
July 1, 2018 – March 1, 2020
Rajkot, Gujarat, India
ISTQB Certified Tester - Foundation Level
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience leading a team and mentoring members aligns well with a collaborative and growth-oriented culture. Their proactive adoption of AI tools for testing suggests an openness to new technologies and continuous improvement, which is a positive cultural indicator. The diverse project experience (web, mobile, API, B2B, travel domain) indicates adaptability and a broad understanding of different application types. The ISTQB certification further shows a commitment to professional standards.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentoring skills, having led a QA team and improved testing efficiency. Their collaboration with developers for defect resolution and participation in requirement discussions indicate good teamwork and communication. The use of AI tools for productivity suggests an adaptive and innovative mindset. The candidate's experience across various testing types (functional, regression, exploratory, cross-browser, API) and methodologies (Agile, Scrum) indicates a versatile operational fit.