QA Automation Engineer with less than a year in Automation Testing & API Testing
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Highly motivated Software QA Engineer with a Bachelor of Technology in Computer Science & Engineering. Proficient in Automation Testing, API Testing, and UI Testing using C#, Java, Selenium, and Playwright. Experienced in developing and maintaining automated test suites, implementing CI/CD pipelines, and leveraging AI tools for test optimization. Proven ability to reduce test execution time and increase defect detection through efficient testing methodologies and problem-solving skills.
Medi-Caps University
Bachelor of Technology · Computer Science & Engineering
August 1, 2019 – June 30, 2023
Kiddy's Corner School, Gwalior
CBSE(XII)
June 1, 2019 – May 31, 2019
Pragati Vidya Peeth, Gwalior
CBSE(X)
June 1, 2016 – May 31, 2016
Phreesia - Healthcare IT
Software QA Engineer I
April 1, 2024 – Present
Pune, Maharashtra, India
Rayden Interactive
Associate QA Engineer
December 1, 2023 – March 31, 2024
Pune, Maharashtra, India
Codesmania
Associate QA Engineer
April 1, 2023 – November 30, 2023
India
2048 Game
March 1, 2021 – April 30, 2021
Developed a tile-based number combination game using JavaScript. Tested edge cases for consistent functionality and smooth gameplay.
View ProjectURL Shortener
March 1, 2021 – April 30, 2021
Built a robust URL shortening web application using Python and Flask. Tested REST APIs and optimized database queries for performance.
View ProjectCultural Fit Analysis
The candidate's experience across three different companies, including a remote role, suggests adaptability. Their involvement in personal projects like the 2048 Game and URL Shortener, alongside professional experience, indicates a proactive and self-driven learning attitude. The use of AI tools for efficiency aligns with a culture that values innovation and continuous improvement. The breadth of tools and methodologies used (Agile, TDD, BDD) shows a versatile approach to QA.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through debugging flaky tests and optimizing test scenarios. Their collaboration with developers and participation in Agile ceremonies indicate good teamwork and operational fit within an Agile development environment. The use of AI tools suggests an innovative and efficiency-driven mindset.