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QA Engineer with 5+ years in test automation, Agile, and CI/CD.
Results-driven QA Engineer with 5+ years of experience in testing. Skilled in Playwright, Selenium, CI/CD, Agile practices, and test design, with a strong focus on product quality, performance, and user experience. Leverages AI tools to enhance test automation, streamline testing workflows, and improve overall QA efficiency. Seeks to contribute to a fast-paced engineering team by improving test efficiency, reducing defects, and enabling reliable releases. Has over 5 years 3 Months of experience in Testing, specializing in functional testing, user acceptance, and regression testing to ensure high-quality software products. Also possesses 5+ years of teaching experience, demonstrating effective communication, training, and mentoring skills. Designed and executed end-to-end automation frameworks using Playwright (JavaScript) for web applications, covering regression, smoke, and critical business workflows. Worked in Agile environments, actively participating in sprint planning, stand-ups, reviews, and retrospectives. Performed Manual + Automation Testing for web and mobile applications (iOS & Android), ensuring functional accuracy, performance, and seamless user experience. Integrated Playwright test suites with CI/CD pipelines (Jenkins Actions) to enable automated test execution on every build and release cycle. Conducted cross-browser and cross-device testing across Chrome, Firefox, WebKit, Mac, iPad, Android, and iOS using BrowserStack. Created and maintained test cases and automation scenarios based on requirements, Figma designs, and wireframes, ensuring high test coverage and defect prevention. Logged, tracked, and validated defects using Jira, collaborating closely with developers during defect triage and release sign-offs.
University Institute of Engineering and Technology (UIET), MDU, Rohtak
M.Tech
N/A – Present
University Institute of Engineering and Technology (UIET), MDU, Rohtak
B.Tech
N/A – Present
SurePeople (Prism® Psychometric Algorithm)
June 10, 2026 – Present
Automated regression and smoke test suites using Playwright, reducing manual effort and improving release confidence. Executed daily regression, production validation, and defect verification to ensure stability of psychometric algorithms and user workflows. Supported CI-driven testing by triggering automation suites via Jenkins Actions, ensuring faster feedback and continuous quality.
Cultural Fit Analysis
The candidate's experience with diverse testing types (functional, regression, smoke, UAT, API) and platforms (web, mobile, cross-browser/device) indicates adaptability. Their proactive exploration of AI tools for testing suggests a growth mindset and willingness to embrace new technologies, which aligns well with innovative and forward-thinking teams. The single project listed, while relevant, limits the assessment of broader project diversity.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile environments, participation in sprint ceremonies, and collaboration with developers for defect management. Their teaching experience suggests good communication and mentoring potential. The focus on leveraging AI tools indicates a proactive and innovative mindset.