QA Automation Engineer with 2+ years in Functional and Automation Testing
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Results-driven QA Engineer with 2+ years of experience in functional and automation testing within Agile environments. Strong expertise in Selenium WebDriver, Java, TestNG, Maven, and Jenkins. Experienced in designing, building, and maintaining Hybrid Automation Frameworks using Page Object Model (POM). Proven ability to improve regression efficiency, reduce defect leakage, and integrate automation suites into CI/CD pipelines.
Govt. SKSJT Institute, Bengaluru
B.E. · Electronics & Communication Engineering
August 1, 2019 – June 30, 2023
LG Soft India
Test Engineer
April 1, 2023 – Present
Bengaluru, Karnataka, India
Smart TV webOS & OTT Application – LG Smart TV Platform
April 1, 2023 – Present
Validated end-to-end workflows including UI navigation, media playback, subscription flows, and remote-control interactions. Executed 180+ manual test cases and maintained detailed test documentation. Reduced playback-related production defects by 20–25% through focused regression testing. Improved defect resolution cycle time by 15–20% through proactive collaboration with development teams. Contributed to automation strategy by identifying high-priority regression scenarios for automation.
Software Testing Certification
QSpiders
June 1, 2026 – Present
LGSI Pat on the Back Award
LG Soft India
January 1, 2024 – Present
LGSI WEE2.0S Project Award
LG Soft India
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience in an Agile environment and collaboration with development and product teams indicates a good fit for a team-oriented culture. Their focus on reducing defects and improving resolution times aligns with a results-driven environment. The project diversity is limited to Smart TV webOS & OTT applications, which might indicate a specialized focus rather than broad industry exposure. The role alignment with QA Automation Engineer is strong given their explicit experience in automation.
Soft Skills & Operational Fit
The candidate demonstrates good collaboration skills through proactive interaction with development teams and participation in Agile sprints. Their ability to identify high-priority regression scenarios for automation indicates a strategic approach to improving efficiency. The awards received suggest recognition for their contributions within their current role.