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QA Automation Engineer with 2+ years in Manual and Automation Testing
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Assessing your cultural and operational fit
QA Engineer with 2.6 years of hands-on experience in Manual and Automation Testing across web applications. Strong expertise in STLC, SDLC, test case design, defect lifecycle, regression, smoke, and sanity testing. Hands-on experience with Selenium and Playwright using Python, defect tracking using Jira, and working in Agile/Scrum environments. Detail-oriented tester with a strong focus on quality, test coverage, and continuous improvement.
Visvesvaraya Technological University
Bachelor of Engineering · Mechanical Engineering
June 1, 2017 – August 1, 2021
QSpiders
Software Testing Course
N/A – June 1, 2022
Impact Analytics
QA Engineer
July 1, 2023 – March 1, 2026
Bengaluru, Karnataka, India
Automation Testing
June 11, 2026 – Present
Automated 60% of core regression test scenarios using Selenium WebDriver with Python, reducing regression cycle time significantly. Built reusable, modular test functions following the Page Object Model (POM) design pattern to improve script maintainability and scalability. Handled dynamic web elements using explicit waits and synchronization techniques, improving test stability and reducing flaky tests. Integrated automation scripts with real-time test data to validate bulk operations and ensure data integrity across workflows. Executed automated test suites as part of regression cycles, enabling faster release cycles with consistent test coverage. Applied working knowledge of CI/CD concepts to support continuous testing pipelines and integrate automation into the development workflow.
Manual Testing
June 11, 2026 – Present
Executed end-to-end STLC activities including requirement analysis, test planning, test case design, execution, and test closure for multiple product releases. Analyzed Business Requirement Documents (BRD) and Functional Requirement Specifications (FRS) to identify 50+ test scenarios and edge cases, reducing requirement gaps. Designed detailed test cases and scenarios covering functional, regression, smoke, and sanity testing across web applications. Managed complete defect lifecycle in Jira from logging and tracking to verification and closure ensuring zero unresolved critical defects at release. Actively participated in Agile ceremonies (sprint planning, daily stand-ups, reviews, and retrospectives), improving team alignment and sprint delivery. Collaborated with developers and product owners to clarify ambiguous requirements, reducing rework by improving defect resolution turnaround time.
Cultural Fit Analysis
The candidate's experience in Agile/Scrum environments and collaboration with cross-functional teams suggests a good cultural fit for dynamic, team-oriented organizations. Their project diversity, covering both manual and automation testing, and the breadth of skills (Selenium, Playwright, Python, Jira, LoadView) indicate adaptability and a broad interest in QA methodologies. The proactive learning of new automation tools also points to a growth mindset, which is valuable for cultural alignment. The transition from a Mechanical Engineering background to software testing, supplemented by a dedicated software testing course, shows determination and a clear career path alignment.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through their experience in Agile environments, defect management, and collaboration with developers and product owners. Their ability to analyze requirements, design test cases, and manage the defect lifecycle indicates strong attention to detail and problem-solving skills. The initiative to learn new tools like Playwright and Cursor AI suggests proactivity and a continuous improvement mindset. However, without specific psychometric or English test scores, a deeper assessment of soft skills like logical reasoning, stress handling, and communication clarity is limited.