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Software Engineer with 2+ years in QA Automation & Manual Testing, proficient in Selenium, Java, and
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Assessing your cultural and operational fit
QA Engineer with 2+ years of experience in Manual and Automation Testing within OTT and Smart TV domains. Proficient in Selenium WebDriver, Java, TestNG, and API Testing using Postman and Rest Assured. Experienced in end-to-end testing, defect lifecycle management, and cross-platform validation in Agile environments, with a focus on improving test efficiency and product quality.
VOC College of Engineering
B.E. · Electronics & Communication Engineering
August 1, 2019 – June 30, 2023
TP Vision (Philips TV)
Software Test Engineer
September 1, 2023 – Present
Bengaluru, Karnataka, India
Selenium E-Commerce Automation Framework
June 30, 2026 – June 30, 2026
• Built a scalable Selenium automation framework using Java, TestNG, Maven, and Page Object Model (POM) with BDD integration using Cucumber. • Implemented BDD framework using Cucumber (Gherkin syntax). • Automated workflows including Login, Product Search, Cart, and Checkout. • Integrated API testing using Rest Assured for backend validation. • Performed API testing using Postman collections (GET and POST requests). • Generated execution reports using Extent Reports. • Designed reusable utilities and maintained version control using GitHub.
View ProjectKakeibo Finance App - QA Testing Contribution
June 30, 2026 – June 30, 2026
• Conducted functional and exploratory testing for a finance tracking application. • Created QA artifacts including Test Plan, Test Cases, Bug Reports, and Execution Reports. • Identified UI and functional defects with detailed reproduction steps. • Collaborated with developers via GitHub for issue tracking and resolution.
View ProjectSpot Awards (Multiple Times)
TP Vision (Philips TV)
June 30, 2026 – Present
Second Runner-Up - Entrepreneurship and Leadership Development Program
Unknown
June 30, 2026 – Present
Machine Learning for Real-World Applications
TCS ION
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience in a corporate setting (TP Vision) and participation in an 'Entrepreneurship and Leadership Development Program' suggest a proactive and team-oriented mindset. Their personal projects, especially the Selenium E-Commerce Automation Framework, show initiative and a drive for continuous learning and practical application of skills. The breadth of skills across manual and automation testing, coupled with domain expertise in Smart TV/OTT, indicates adaptability and a willingness to tackle diverse challenges. The 'Machine Learning for Real-World Applications' certification also points to an interest in expanding their technical horizons.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile environments, collaboration with cross-functional teams, and proactive identification of automation opportunities. Their ability to analyze logs and contribute to defect resolution indicates good problem-solving skills. The 'Spot Awards' suggest recognition for performance and contribution within their current role.