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Senior Automation Engineer with 4+ years in Selenium, Playwright & AI integration.
SDET with 4.2+ years of experience in manual and automation testing for web and mobile applications using Selenium (Java) and Playwright (TypeScript) frameworks with AI integration. Skilled in designing scalable automation frameworks, executing functional, regression, smoke, and API testing, and integrating automated test suites with CI/CD pipelines. Strong understanding of Agile methodologies, SDLC/STLC processes, defect lifecycle management, and cross-functional collaboration.
Dronacharya College Of Engineering
B.Tech · Computer Science Engineering
August 1, 2017 – June 30, 2021
Magic Software Pvt. Ltd.
Sr. Test Engineer
February 1, 2022 – April 30, 2026
Noida, Uttar Pradesh, India
Imagine Learning
February 1, 2025 – April 30, 2026
i. Conducted Black Box Testing. Performed Regression, Smoke, Sanity, System testing. ii. Developed an AI-driven Healer Agent leveraging Claude to autonomously analyze trace logs and DOM snapshots, automatically suggesting and applying fixes to flaky tests or broken selectors. iii. Integrated Playwright test suite into Git Actions CI/CD pipelines, streamlined YAML file to significantly accelerate execution speed and enhancing the test feedback loop. Reduced the manual intervention and increased the efficiency of the work by 30%.
Activate Learning
November 1, 2023 – January 31, 2025
i. Sustained a Regression test suite using Playwright with JavaScript/Typescript and also used CI/CD pipelines for continuos testing. ii. Worked together with cross-functional teams and used bug tracking tool JIRA to identify, document, and track software defects. iii. Verified API's using Postman. Identified 30% more critical bugs by implementing more rigorous exploratory testing.
ABP Assessment Authoring Tool
June 1, 2022 – October 31, 2023
i. Conducted Black Box Testing. Performed Regression, Smoke, Sanity, Integration, UAT testing in Agile environment. ii. Implemented AI-driven test case creation and design using ChatGPT to improve testing efficiency and coverage. iii. Maintained an automated smoke, functional and regression test suite using Selenium with Java. Regression suite helped to reduce test execution time by 30%.
Cultural Fit Analysis
The candidate's project diversity, including work on an 'Assessment Authoring Tool' and 'Learning' platforms, indicates adaptability to different domains. The emphasis on AI integration and CI/CD pipelines aligns with modern development practices, suggesting a fit for innovative and fast-paced environments. The breadth of skills in both Java/Selenium and JavaScript/TypeScript/Playwright shows versatility. However, the resume primarily focuses on technical contributions, with less explicit detail on broader team or organizational impact beyond efficiency metrics, which could be explored further for cultural alignment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through the implementation of AI-driven solutions for test automation. Their experience in Agile environments and collaboration with cross-functional teams indicates good teamwork and adaptability. The focus on reducing manual intervention and improving efficiency suggests a proactive and results-oriented approach.