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QA Engineer with 3+ years in Selenium, JUnit, TestNG, and Cucumber.
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Experienced Automation Test Engineer with 3.5 years of hands-on experience in designing, developing, and implementing automated test scripts using industry standard tools like Selenium, JUnit, TestNG, and Cucumber. Adept at identifying test requirements, creating robust test frameworks, and ensuring the highest quality of software products through rigorous automated testing. Strong knowledge of various testing methodologies, including Agile and DevOps environments. Familiar with AI-driven testing workflows, GitHub Copilot for code assistance, and emerging agentic automation tools and MCP (Model Context Protocol) integrations.
Saveetha Engineering College
Bachelor's Degree
August 1, 2017 – June 30, 2020
McKinsey & Company
• Software Test Engineer
September 1, 2025 – December 31, 2025
India
RedCloud Soft Solutions
Software Test Engineer
January 1, 2024 – August 31, 2025
India
GlobalLogic
Software Test Engineer
August 1, 2022 – December 31, 2023
India
Project #3 - McKinsey & Company
September 1, 2025 – December 31, 2025
Contributed to McKinsey's Client Data Management (CDM) system by performing data validation and quality assurance to enhance data accuracy and hierarchy structure. Standardized client records using SQL and Advanced Excel, resolving duplicates and incorrect relationships. Verified data synchronization across partner-facing systems and adherence to governance standards. Supported client onboarding through data verification and enrichment activities. Roles & Responsibilities: Designed, developed, and executed automated test scripts using Selenium, Playwright, and Appium for web and mobile applications. Performed functional, regression, smoke, and end-to-end testing to ensure high-quality deliverables. Conducted API and integration testing to validate backend functionality and system workflows. Logged, tracked, and managed defects using JIRA, ensuring timely analysis and resolution. Actively participated in Agile Scrum ceremonies such as sprint planning, daily stand-ups, reviews, and retrospectives. Developed and maintained test automation frameworks to improve test coverage and execution efficiency. Created and managed test data and test environments to simulate real-world scenarios and edge cases. Integrated automated test suites into CI/CD pipelines to enable faster and more reliable releases. Used AI-driven code reviews and smart debugging support to identify script optimizations, reduce flaky tests, and improve overall automation stability. Used GitHub Copilot for AI-driven code reviews, smart debugging support, and identifying script optimizations to reduce flaky tests. Explored AI agent-based automation to orchestrate multi-step test workflows with minimal manual intervention. Studied and applied MCP (Model Context Protocol) principles to evaluate how AI models can be connected to QA tools, test data sources, and reporting systems for smarter, context-aware testing.
Project #2 - Target
January 1, 2024 – August 31, 2025
Target ranks among the largest supermarkets in the USA. Target has an excellent shopping website where you can buy groceries, household goods, pet requirements, electronics and home appliances, apparel and lots more. The website offers daily and weekly discount coupons and codes to shoppers. Their Restock facility enables you to keep your home stocked with groceries and other stuff that is used in large quantities. Roles & Responsibilities: Involvement in preparation of test procedures, test scenarios, cases and test data Responsible for GUI and Functional Testing using Black box Testing Techniques Involvement in test execution, results evaluation and defect reporting Involvement in RTM Preparation and automation infrastructure development using Selenium Created test cases using element locators and Selenium WebDriver methods. Enhanced test cases using core Java programming features and TestNG annotations. Execution of Selenium test cases and reporting defects. Reported testing status to the QA Manager and project team weekly. Used GitHub Copilot to speed up script creation and suggest optimized locator strategies.
Project #1 - Shopee
August 1, 2022 – December 31, 2023
Shopee is a Singaporean e-commerce platform head-quarted under the Sea /Group Which was founded by Forest Li. Shopee was first launched in Singapore in 2015 and since expanded its reach to Malaysia, Thailand, Taiwan, Indonesia, and Philippiness and Brazil. It serves user in southeast Asia and Taiwan to buy and sell product. Roles & Responsibilities: Understanding requirement document. Working with the team to get clarification on issues found during requirement understanding. Prepared test scenarios and test cases based on requirements Involved in the implementation of the Cucumber-BDD Framework Having experience in developing, modifying, and executing scripts and Actively involved in preparing test data for frameworks. Involved in the implementation of project-specific functions in libraries and Learned app business requirements, technical specifications, and installation guidelines. Wrote and executed test cases for major program modules. Involved in test case execution and Bug reporting. Responsible for Functional & Regression Testing Automated API regression suites with Karate and Performed data-driven testing, assertions, and integration validation to ensure backend stability across releases.
Cultural Fit Analysis
The candidate has worked on diverse projects across different domains (e-commerce, client data management) and companies (Shopee, Target, McKinsey & Company, RedCloud Soft Solutions, GlobalLogic), demonstrating adaptability and a broad range of experiences. Their engagement with AI-driven tools and emerging protocols (MCP) indicates an innovative mindset and a willingness to embrace new technologies, which is a strong cultural fit for forward-thinking organizations. The consistent use of industry-standard tools and methodologies across projects also points to a professional and structured approach to work.
Soft Skills & Operational Fit
The candidate's project descriptions highlight active participation in Agile Scrum ceremonies, collaboration with senior QA engineers and developers, and reporting testing status, indicating good team collaboration and communication skills. Their proactive exploration of AI-driven testing suggests a strong inclination towards continuous learning and process improvement, which aligns well with modern operational practices.