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QA Automation Engineer with 10+ years in Manual, Automation, API, and Performance Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven QA Engineer with 8+ years of experience in Manual, UI, Automation, API, and Performance Testing. Strong expertise in test planning, requirement analysis, AI-assisted testing, and Agile methodologies. Proven ability to deliver high-quality applications and lead QA teams effectively.
Gujarat Technological University
MCA
August 1, 2013 – June 30, 2015
Gujarat University
BCA
August 1, 2009 – June 30, 2012
TOPS Infosolutions Pvt Ltd
Quality Analyst
November 1, 2022 – November 1, 2025
India
T M Systems Pvt Ltd
QA Lead
July 1, 2019 – October 1, 2022
India
EasyPay Pvt Ltd
Quality Analyst
December 1, 2018 – July 1, 2019
India
MSP Software Pvt Ltd
Support Executive
July 1, 2015 – March 1, 2018
India
Bird Product AI Project
June 1, 2026 – Present
Worked on Python-based AI bot system testing. Validated order fetching from multiple locations to centralized admin store. Tested reporting system for sales tracking and profit analysis per store. Ensured accuracy, performance, and data reliability.
Other Projects
June 1, 2026 – Present
Connect Cash, Stratik, Hinge Axis, CubeX, and Multiple US/AU Client-Based Applications. Involved in Functional Testing, API Validation, and Performance Testing.
Selenium WebDriver with Java
STAD Solutions
June 1, 2026 – Present
Be10X AI Workshop Certification
Be10X
June 1, 2026 – Present
Manual Testing Training
Unicode Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple companies and diverse projects (e.g., AI bot system, POS systems, client-based applications) demonstrates adaptability and a broad exposure to different business domains. Their role as a QA Lead and involvement in mentoring indicates a collaborative and growth-oriented mindset. The breadth of skills, from traditional manual testing to modern AI-assisted automation, suggests a willingness to learn and embrace new technologies, which is a positive indicator for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate's resume indicates strong collaboration skills, experience in mentoring junior QA members, and working in Agile environments, suggesting good operational fit. Their leadership experience as a QA Lead also points to strong organizational and communication skills within a team setting. The use of AI tools for test case generation and defect prediction shows an adaptive and forward-thinking approach to QA.