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QA Automation Engineer with 3+ years in manual, automation & AI-driven testing
Dedicated Software Test Engineer with 2.8 years of experience in manual, automation, and AI-driven testing. Proficient in Selenium WebDriver, JUnit, Postman, and performance monitoring using AppDynamics. I am skilled in building automation frameworks and applying AI-assisted test case generation, defect prediction, and intelligent test coverage optimization. Experienced in managing CI/CD pipelines in Jenkins for reliable and faster deployments. Strong background in UAT, Integration Testing, Functional Testing, and Agile/Scrum practices, with hands-on experience using VersionOne Agile Board for sprint planning and tracking. Known for strong analytical skills, effective root cause analysis, and driving high-quality defect resolution. Detail-oriented, proactive, and committed to quality, performance, efficiency, and continuous improvement.
Saveetha Engineering College, Chennai
Bachelor of Engineering (B.E.) · Electronics and Communication Engineering
August 1, 2018 – June 30, 2022
Mphasis Ltd
Software Engineer – Java Web Application Testing
May 1, 2023 – Present
Chennai, Tamil Nadu, India
Mphasis Ltd
Testing / QA
May 1, 2023 – Present
Chennai, Tamil Nadu, India
Mphasis Ltd
Automation and Manual Tester
May 1, 2023 – Present
Chennai, Tamil Nadu, India
AI Testing
June 16, 2026 – Present
Developed and tested AI-driven chatbots to streamline internal processes, ensure data privacy, and make automation more accessible across the organization. Led the development and testing of Project Guard AI, an AI chatbot assisting employees with project-related queries while enforcing strict privacy controls based on user roles. The chatbot ensures sensitive information is only accessible to authorized personnel and helps streamline internal support processes. Contributed to an optional initiative, Assisted Intelligence for System Testing, an AI chatbot aiming to generate automation scripts and provide guidance to users at all skill levels, thereby empowering teams to adopt automation more effectively. This work blends AI with quality assurance to enhance efficiency, security, and accessibility in the testing landscape.
Space S Pace
June 16, 2026 – Present
Performed Integration Testing, UAT, End-to-End Testing, and thorough defect analysis across the QA lifecycle. Conducted manual testing of application modules, validating both functionality and UI accuracy. Reported, tracked, and revalidated defects in close collaboration with the development team. Ensured test cases were aligned with business requirements and Product Owner feedback. Executed test pipelines using Jenkins and monitored application performance with AppDynamics. Provided support in issue resolution by addressing and fixing assigned bugs. Collaborated effectively with cross-functional teams to ensure timely and quality delivery. Executed 300+ test cases across functional and regression cycles. Identified and tracked 150+ defects improving product quality. Reduced regression execution time by 30% using automation.
Ground Rating Modernization
June 16, 2026 – Present
Worked on Java-based applications for testing, bug reporting, and validation of business logic. Performed manual testing of rate applications, ensuring functional accuracy and reliability. Served as an Automation Testing Adviser, guiding test case creation and overseeing script execution. Reported defects to development teams and clients, ensuring transparency and timely resolution. Leveraged GitHub Copilot to enhance automation efficiency and test development. Contributed to CI/CD pipeline design and maintenance using Jenkins, enabling faster, automated, and error-free releases. Utilized VersionOne Agility Board for Agile ceremonies, sprint tracking, task assignment, and monitoring deliverables.
AWS Certified Solutions Architect – Associate
AWS
June 1, 2026 – Present
Certified in Agile
Unknown
June 1, 2026 – Present
Cambridge English – Business English Certificate (BEC)
Cambridge English
June 1, 2026 – Present
Certified in using GitHub Copilot
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including AI-driven testing, traditional web application testing, and manual/automation roles, indicates adaptability and a broad skill set. Their involvement in an 'optional initiative' (Assisted Intelligence for System Testing) suggests proactiveness and a willingness to contribute beyond core responsibilities. The certifications (AWS, Agile, GitHub Copilot) and pursuit of further learning (AWS Solutions Architect) demonstrate a growth mindset. The consistent employment at Mphasis Ltd. across different roles, albeit for a relatively short period, shows commitment. The focus on efficiency, security, and accessibility in testing aligns with best practices and a quality-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical skills, root cause analysis, and a detail-oriented approach to defect resolution. Their experience in collaborative environments and Agile practices suggests a good operational fit. The certifications in Agile and Business English further support their ability to work effectively in a professional, team-oriented setting. The candidate's proactive engagement in AI initiatives indicates a commitment to continuous improvement and innovation.