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QA Automation Engineer with 4+ years in UI and API Testing
QA Automation Engineer with 4.2 years of experience in UI and API Testing, ensuring data accuracy and system efficiency. Expertise in Selenium for frontend automation, significantly improving UI test coverage. Proficient in Postman and Rest-Assured for API testing, ensuring seamless service integrations. Strong experience in database testing using MySQL to validate backend data in pipelines. Hands-on experience with CI/CD pipelines using Jenkins optimizing automated test execution in Agile environment. Designed, developed, and maintained UI Automation frameworks using Selenium WebDriver, enabling reliable cross-browser testing. Executed functional, regression, and integration testing of REST and SOAP APIs using Postman, ensuring secure and accurate workflows. Collaborated closely with developers, automation engineers, and QA leads to align testing scope and streamline QA processes. Optimized automated test execution by integrating frameworks with CI/CD pipelines using Jenkins, GitHub improving release efficiency and stability. Developed and executed comprehensive Test plans for Web Application and perform software Testing's like Functional, Smoke & Regression-Testing. Develop and execute Test cases, Test plans and Test Scripts based on Project requirements. Leveraged Generative AI and NLP-based automation to convert business requirements into test cases, reducing manual test design effort by 40%. Conducted database testing using MySQL, including data validation, transformations, duplicate detection, null checks, and source-to-target reconciliation. Actively contributed in Agile/Scrum environments, participating in requirement analysis, sprint planning, daily stand-ups, and defect triage. Recognized for preparing detailed quality reports (daily, weekly, and impact analysis) for senior management, supporting data-driven decision-making.
Sanjay Memorial Institute Of Technology
B Tech
August 1, 2016 – June 30, 2020
DXC Technology
QA Automation Engineer
April 1, 2022 – Present
Bengaluru, Karnataka, India
Travel Cove
June 30, 2026 – Present
Travel Cove is a tour management application which allows users to register and search through various tours which will be displayed on the website. Tour-related info will be managed by an admin panel in the back end and will be dynamic. Search will also be location-based and package-based. The admin panel manages locations, regions, packages, and tours. It contains several modules like Destination, Packages, Weekend Plans, Places to enjoy, Recommended Tours etc.
Apka Interior
June 30, 2026 – Present
This is an e-commerce based application that allows customers to purchase interior products such as Furniture, Decor Wallpaper, modular kitchens and complete interior packages through an online platform. Users can place Interior products by providing their personal address and payment details, and manage features such as updating shipping and billing address, payment mode, cancel, request refunding and replacements through the Apka Interior portal. The platform ensures a seamless end-to-end experience by integrating order management and customer self-service capabilities.
Cultural Fit Analysis
The candidate's experience across multiple projects, including e-commerce and tour management applications, demonstrates adaptability to different business domains. Their active participation in Agile/Scrum environments and collaboration with various teams (developers, QA leads) indicates a team-oriented mindset. The breadth of tools and technologies used (Selenium, Postman, MySQL, Jenkins, Jira, BDD, Pytest, Python, AI tools) suggests a willingness to learn and apply diverse skills, which aligns well with dynamic and evolving team cultures.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to QA, evidenced by their involvement in test plan development, defect management, and quality reporting. Their collaboration with developers and QA leads indicates good teamwork and communication skills within an operational context. The use of AI tools suggests an openness to adopting new technologies for efficiency.