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QA Engineer with 1+ years in manual, automation, and mobile testing across Android, iOS, and web pla
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Engineer experienced in manual, automation, and mobile testing across Android, iOS, and web platforms. Skilled in Functional, Regression, and UI/UX Testing, with automation using Selenium WebDriver, TestNG, and Core Java integrated with Jenkins CI/CD. Proficient in API validation and mobile debugging using Charles Proxy, Fiddler, Burp Suite, ADB, and Frida, with strong experience in defect tracking using JIRA to deliver high-quality software releases.
MERI College of Engineering & Technology, MDU Rohtak
B.Tech · CSE
August 1, 2021 – June 30, 2024
Integrated Institute of Technology, Dwarka, New Delhi
Diploma · ITES&M
August 1, 2018 – June 30, 2021
App Analytics
QA Engineer
September 1, 2024 – Present
India
Tested 100+ mobile & web apps across domains like finance, e-commerce, gaming, health & fitness, tools, and lifestyle on Android, iOS, and web.
June 11, 2026 – Present
Executed Functional, Regression, Smoke, UI/UX, and Cross-Device Testing across multiple devices and OS versions. Performed API validation and network analysis using Charles Proxy, Fiddler, and Burp Suite. Used ADB and Frida for mobile debugging, identifying issues and tracking defects in JIRA.
Cultural Fit Analysis
The candidate's experience across diverse application domains (finance, e-commerce, gaming, health & fitness) and platforms (Android, iOS, web) indicates a broad exposure and adaptability, which can contribute positively to cultural fit in dynamic environments. The mention of supporting automation suggests a proactive learning attitude.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to testing, covering various types of testing and utilizing industry-standard tools for debugging and API validation. Their experience in defect tracking and collaboration indicates good operational fit for a QA role. The project diversity across multiple domains suggests adaptability.