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QA Engineer with 4+ years in Manual & Automation Testing
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QA Engineer with 4+ years of experience in Manual and Automation Testing, specialising in Selenium WebDriver with Java, TestNG, and REST API Testing. Proven track record of designing and maintaining automation frameworks (POM, Hybrid, Data-Driven) that reduce manual effort and accelerate release cycles. Experienced across Functional, Regression, Smoke, Sanity, Cross-Browser, API, and Database Testing in Agile/Scrum environments. Proficient with Postman, Jenkins, Maven, Git, and CI/CD pipelines, with hands-on delivery on Web and Smart TV (webOS) platforms.
SRM University
Master of Computer Applications (MCA) · Computer Applications
August 1, 2019 – June 30, 2021
Reva University
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2016 – June 30, 2019
LG Soft India
Senior Test Engineer
December 1, 2021 – Present
Bengaluru, Karnataka, India
LG Website Automation
December 1, 2021 – June 1, 2026
Built end-to-end automation suite using Selenium WebDriver + Java covering 80+ scenarios (login, search, cart, checkout). Implemented POM architecture, reducing script maintenance effort by 35% across quarterly UI updates. Integrated tests into Jenkins CI pipeline; configured automated nightly regression runs with TestNG reports. Performed cross-browser regression testing on Chrome, Firefox, and Edge using Selenium Grid.
webOS Smart TV Testing
December 1, 2021 – June 1, 2026
Automated key user workflows — App Launch, Login, Menu Navigation, Media Playback — using Selenium + Java + TestNG. Validated UI navigation, usability, and cross-version compatibility across 3 major webOS releases. Executed 300+ manual regression test cases per release cycle; maintained zero critical escapes to production.
Hardware Integration Testing - Raspberry Pi & Apollo RPi4/O22
December 1, 2021 – June 1, 2026
Tested Raspberry Pi-based embedded applications, ensuring hardware-software compatibility across 5 device configurations. Performed functional and platform validation for embedded Linux environments; supported debugging and performance validation.
Cultural Fit Analysis
The candidate's experience at LG Soft India, a large multinational company, suggests an ability to work within established corporate structures and diverse teams. Their involvement in various projects (LG Website, webOS Smart TV, Hardware Integration) indicates adaptability and a broad interest in different testing domains. The focus on automation and continuous improvement aligns well with a culture that values efficiency and innovation. The breadth of technical skills and methodologies used also points to a candidate who can integrate into various technical environments.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile/Scrum teams, participation in daily stand-ups, sprint planning, and retrospectives. Their ability to identify and report defects, participate in bug triage, and deliver test summary reports indicates good collaboration and communication within a team. The description of reducing manual effort by 40% and implementing POM architecture suggests a proactive and efficiency-driven mindset.