Manual and Automation QA Engineer
A passionate Quality Assurance Engineer with hands-on experience in manual and automation testing across multiple platforms and browsers. I specialize in ensuring software quality through test planning, execution, and reporting using tools like Selenium, Pytest, Allure, SonarQube, and CI/CD pipelines with Jenkins. With a strong foundation in Python, JavaScript, HTML, CSS, and React basics, I enjoy solving problems, breaking things and making products more reliable and user-friendly. I have also contributed to cross-browser compatibility testing, bug reporting, and have a keen eye for UI/UX glitches — yes, even the tiny ones big platforms miss! Beyond work, Iam curious, adaptable, and always learning — from improving test frameworks to exploring new tools.
Proficient in creating and executing detailed test cases, test scenarios, and bug reports.
Experience in building test scripts using Selenium with Python and Pytest frameworks.
Hands-on experience in setting up test automation pipelines using Jenkins.
Integrated automated tests with Allure Reports and SonarQube quality gates.
Proficient in Python, JavaScript and core web technologies (HTML, CSS, React basics).
Experienced in reporting and tracking defects with tools like Jira and GitHub Issues.
Familiar with vulnerability scanning using Trivy.
Implemented a Python-based automation suite leveraging Selenium WebDriver and PyTest to validate the login functionality of the Sauce Demo site (Swag Labs)
Tech: Python, Selenium, Jenkins, Sonarqube, Trivy,Ubuntu-Server.
View on GitHubImplemented a static, Frontend Mentor challenge solution showcasing a clean HTML/CSS implementation of a recipe page—leveraging semantic markup with assets, a style guide, and a design folder for structure.
Tech: HTML,CSS,JavaScript
View on GitHubJavaScript-based app for real-time weather updates using external APIs.
Tech: JavaScript, APIs
View on GitHubA frontend coding challenge project focused on building an e-commerce product page.
Tech: HTML,CSS, JavaScript
View on GitHub