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QA Engineer with 3+ years in Manual and Automation Testing
Detail-oriented Software Quality Engineer with 3.8 years of extensive experience in Manual and Automation Testing, including Functional, Non-Functional, API, and Database Testing. Proven expertise in developing and executing test cases with Selenium WebDriver and Java, along with proficiency in CI/CD processes. Adept at collaborating effectively with cross-functional teams to clarify defects and enhance product quality. Skilled in using tools such as Postman, JIRA, and TestNG, while applying industry best practices to ensure testing efficiency and reliability. Committed to continuous learning and improvement within the fast-paced tech environment, I aim to contribute to an organization that fosters growth and innovation in quality assurance.
Prof. Ram Meghe Institute of Technology and Research Badnera Amaravati
B.Tech/B.E. · Bachelor of Technology / Engineering
N/A – June 30, 2021
Samsung R&D Institute India Noida (SRI Noida)
Software Quality Engineer
July 1, 2022 – Present
Noida, Uttar Pradesh, India
Samsung Shop
July 1, 2022 – Present
Performed end-to-end UI testing for the Samsung Shop application using Selenium WebDriver with Java, validating key user journeys and critical functionalities. Developed and maintained automation scripts using Selenium WebDriver with Page Object Model (POM) and BDD (Cucumber) to enhance maintainability and readability. Designed comprehensive test cases and test scenarios based on business requirements for both manual and automated testing. Executed functional, regression, smoke, and sanity testing across various Android devices and environments. Detected, reported, and tracked UI and functional defects using PLM tool, ensuring proper defect lifecycle management and timely resolution. Validated UI consistency, input validations, and overall user experience across multiple OS versions and devices. Collaborated with CI/CD pipelines (Jenkins/Azure DevOps) to integrate and run automation test suites as part of continuous testing.
Spot Award in Q1
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Samsung R&D Institute India Noida, a large multinational corporation, suggests an ability to work within structured environments and collaborate with diverse teams. The mention of working on various Android devices and chipsets indicates adaptability and a broad technical scope. The 'Spot Award' implies a results-oriented mindset, which aligns well with performance-driven cultures. The candidate's focus on continuous learning also indicates a growth mindset, beneficial for dynamic tech environments.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through their work with cross-functional teams. Their commitment to continuous learning and improvement, as stated in the profile summary, suggests a proactive attitude. The 'Spot Award in Q1' indicates recognition for performance, implying a strong work ethic and ability to deliver results. The detailed project and experience descriptions suggest good organizational and problem-solving skills in a QA context.