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QA Engineer with 4+ years in Test Automation (Selenium, API) and Agile.
Over 4 years of experience in Automation and Manual Testing, including Web, API, and Database testing across domains like Banking, Healthcare, and eCommerce. Strong expertise in Selenium WebDriver with Java, along with hands-on experience in building and maintaining automation frameworks such as POM, Hybrid, and BDD using Cucumber. Proficient in TestNG, JUnit, and Maven, ensuring scalable and maintainable automation test suites. Skilled in API Testing using Postman for manual validation and Rest Assured for automation of RESTful services. Good knowledge of JavaScript and Python, used for automation scripting and lightweight test utilities. Deep understanding of Agile/Scrum methodologies, actively involved in sprint ceremonies, backlog grooming, and story estimation. Experienced in setting up and maintaining CI/CD pipelines with Jenkins, integrating automation tests with nightly builds and regression cycles. Familiar with Git/GitHub for version control and collaborative development with multiple QA and development teams. Proficient in SQL, used for validating backend data and writing complex queries for test verification. Exposure to cross-browser and cross-platform testing using tools like Selenium Grid and Browser Stack. Strong experience in Defect Tracking & Test Management tools like JIRA, Zephyr, TestRail, and Confluence. Exposure to performance testing using JMeter (basic to intermediate level). Involved in test strategy, test planning, and effort estimation for both functional and automation testing activities. Excellent understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
Golden valley Integrated Campus
B. Tech · Electronics and Communication Engineering
August 1, 2013 – June 30, 2017
Capgemini
Software Test Engineer
July 1, 2022 – Present
India
Agent Assist
June 25, 2026 – Present
Agent Assist is an AI-powered conversational assistant platform developed by Gupshup designed to enhance customer support operations by providing real-time assistance to support agents. The system integrates Natural Language Processing (NLP) and machine learning algorithms to automate common customer queries, suggest relevant responses, and streamline ticket resolution workflows. The platform supports multi-channel communication including chat, email, and social media, enabling businesses to deliver faster and more efficient customer service. Responsibilities: Analyzed and reviewed detailed functional requirements, user stories, and business workflows to prepare effective test cases and scenarios for Agent Assist platform. Designed, developed, and maintained automated test scripts for both UI and API layers using Selenium WebDriver, TestNG, and REST Assured to ensure comprehensive test coverage. Automated API validations using Postman and REST Assured, including authentication flows, message routing, and response accuracy in real-time conversational contexts. Created BDD-style test scenarios and feature files using Cucumber, fostering better communication and collaboration between technical teams and business stakeholders. Executed functional, regression, smoke, and sanity testing cycles to validate platform stability during iterative releases and hotfixes. Actively participated in Agile scrum ceremonies, providing daily updates on testing progress, impediments, and risk assessments. Logged, tracked, and managed defects using JIRA, working closely with developers to analyze, reproduce, and verify fixes. Integrated automated test suites into Jenkins pipelines to support Continuous Integration and Continuous Delivery (CI/CD) processes, ensuring faster and reliable deployment cycles. Conducted SQL queries to validate backend data integrity for conversation logs, agent actions, and customer interaction history. Coordinated with cross-functional teams including product managers, developers, and AI specialists to understand complex conversational flows and edge cases. Assisted in creating detailed test documentation and reporting, sharing regular execution and defect status reports with clients and project stakeholders.
Client Central
June 25, 2026 – Present
Client Central is a secure, web-based platform developed for Charles Schwab to streamline communication between investors and financial advisors. It offers modules for investment management, trading, and wealth advisory services, supporting millions of client accounts. The platform ensures performance, regulatory compliance, and accessibility across web and mobile interfaces. Responsibilities: Developed and maintained automation scripts using Selenium WebDriver and TestNG within a Hybrid Framework. Designed and executed functional, regression, smoke, and E2E test cases across multiple modules. Performed REST API testing using Postman and automated validations using RestAssured. Integrated test suites into the CI/CD pipeline using Jenkins for scheduled and on-demand test runs. Created and managed test cases, test cycles, and defect tracking using qTest and JIRA. Participated in requirement analysis, sprint planning, and daily stand-ups to ensure test coverage and alignment. Collaborated closely with developers and BAs to review user stories and clarify acceptance criteria. Conducted database validations using SQL queries to ensure backend data consistency and integrity. Contributed to peer reviews of test scripts and test plans to maintain coding and testing standards. Performed cross-browser and UI compatibility testing to ensure consistent user experience. Assisted in creating and maintaining the Requirement Traceability Matrix (RTM) to ensure end-to-end coverage. Provided daily and weekly test reports to the QA lead and stakeholders.
Customer Information System – GO-AI
June 25, 2026 – Present
GO-AI is an internal tool developed for Nike to streamline support operations for associates handling live job activities. It automates the communication process between associates and OSEs (Operational Support Experts), replacing manual workflows with a centralized platform for submitting, reviewing, and resolving job-related assistance requests. The tool enhances operational efficiency by providing real-time notifications, automated doubt resolution, and visibility into all ongoing tasks through a unified dashboard. Responsibilities: Designed and implemented automation test scripts using Java, Selenium WebDriver, and TestNG. Developed BDD test scenarios with Cucumber, integrating feature files with step definitions. Performed REST API automation testing using RestAssured and manual validation using Postman. Created assertions for status codes, response bodies, and JSON schema validations. Executed functional, integration, and regression testing for backend and UI workflows. Maintained and executed Postman collections for service layer validation. Participated in Agile ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives. Validated backend data changes using SQL queries during test execution. Reported and tracked defects using JIRA, and collaborated with developers for quick resolution. Conducted cross-browser testing and worked on improving test coverage for critical business scenarios. Involved in test environment setup, user account configuration, and test data management. Documented test results, contributed to QA metrics, and ensured timely communication of risks and blockers.
Cultural Fit Analysis
The candidate's project experience spans multiple domains (Investment Banking, E-commerce, Conversational AI) and involves working with large clients like Charles Schwab and Nike, indicating adaptability and exposure to diverse corporate cultures. Their active participation in Agile ceremonies and collaboration with various teams suggests a team-oriented and iterative work style. The breadth of tools and technologies used also points to a willingness to learn and adapt to different project requirements.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through participation in Agile ceremonies and coordination with cross-functional teams. Their experience in defect tracking, reporting, and peer reviews indicates a structured and quality-focused approach to testing. The ability to work with various stakeholders (developers, BAs, product managers, AI specialists) suggests good interpersonal and communication skills within a team environment.