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QA Automation Engineer with 4+ years in Selenium, Appium & Java
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 with 3 years 10 Months of experience who reduced manual regression effort by 40% through Selenium automation. Specialises in Web and Android application testing with strong hands-on expertise across Selenium WebDriver, TestNG, Appium, Java, JIRA, and Agile/Scrum environments. Consistently detects critical defects early, delivering stable, high-coverage releases across e-commerce and entertainment platforms.
State Board
Intermediate (12th Grade)
N/A – May 31, 2017
IEC University, Himachal Pradesh
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2020
State Board
SSC (10th Grade)
N/A – May 31, 2013
ASICS Technologies Pvt Ltd
Software Test Engineer
June 1, 2022 – Present
Hyderābād, Telangana, India
E-Commerce Platform - Web & Mobile Automation
June 28, 2026 – Present
Designed and executed manual and automated test cases using Selenium WebDriver (Java), TestNG, and Appium across web and Android mobile platforms. Covered Login, Search, Product Listing, Cart, Checkout, Payments, and Order Management modules in both Smoke and Regression suites. Used Explicit Waits to handle dynamic elements; integrated the framework with Maven for build management and CI execution. Executed cross-device testing on Android real devices and emulators for mobile validation. Identified, logged, and tracked 100+ defects in JIRA; performed re-testing and regression testing post-fix to verify quality.
RAVE - Reliable Audio Video Entertainment
June 28, 2026 – Present
Created and executed Smoke, Functional, Regression, and GUI test cases using JIRA for an audio-video streaming platform. Conducted cross-platform testing across multiple device models, identifying and logging 100+ defects. Prepared daily test status reports and supported developers with accurate defect reproduction steps.
Cultural Fit Analysis
The candidate's project experience across e-commerce and audio-video streaming platforms, coupled with their current role at ASICS Technologies, indicates adaptability to different product domains. Their focus on automation, efficiency, and defect reduction aligns well with a culture that values quality and continuous improvement. The mention of collaboration with various stakeholders in Agile ceremonies suggests a team-oriented mindset. The breadth of testing types and tools used also points to a willingness to learn and apply diverse technical solutions, which is a positive indicator for cultural fit in dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a QA Automation Engineer role, evidenced by their experience in Agile/Scrum methodologies, defect management, and collaboration with development teams. Their professional summary and project descriptions indicate a results-oriented approach, focusing on efficiency and quality. The candidate's ability to identify and track numerous defects, along with their award for identifying production-blocking issues, suggests a proactive and detail-oriented work attitude. However, without specific psychometric test results, a deeper assessment of stress handling and team collaboration beyond their stated experience is not possible.