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QA Automation Engineer with 4+ years in Functional & Automation Testing, CI/CD, and AI/ML applicatio
Working as a Senior Software Test Engineer in Tech Mahindra with 4.7 + years of experience. Strong understanding of business requirements, functional specifications, and workflow diagrams, contributing to timely project deliveries and effective issue resolution. Strong structured testing knowledge and thorough understanding of quality assurance testing methodologies & concepts, demonstrating deep knowledge and hands on experience mainly with Functional and Automation testing cross web browser and desktop applications. Strong Hands-on experiences in machine learning, AI and Natural language processing. Strong Hand on experience in manual and automated testing, continuous integration, and collaboration with cross-functional teams to ensure seamless user experiences. Good knowledge of software development life-cycle that includes requirement analysis, designing test scenarios, testing, review. Experience in CI/CD Pipelines Using Docker, Jenkins, Git. Good Knowledge in Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC). Good experience and knowledge in Testing life-cycle and core Testing Techniques using different Test approaches, Requirements / Functional Analysis, Test Planning, Test Estimation, Test Preparation, Test Execution, Test Reporting and Defect Management.
Vellore Institute of Technology
M. Tech in CSE · Master of Technology
January 1, 2019 – July 1, 2021
GGITS Engineering College
B.E in CSE · Bachelor of Technology
January 1, 2013 – June 1, 2017
Tech Mahindra
Senior Software Test Engineer | QA Engineer [D.E.] | Quality Assurance Tester
February 1, 2022 – Present
Hyderābād, Telangana, India
Tech Mahindra
Cloud Engineer | GCP [D.E]
September 1, 2021 – February 1, 2022
Hyderābād, Telangana, India
GEO (Mobile Testing in Android and IOS)
February 1, 2022 – June 1, 2026
(Working from client location Google)
AWS Certification
Udemy
June 1, 2026 – Present
Machine Learning
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across various testing types and tools, coupled with their involvement in agile projects and collaboration with cross-functional teams, suggests a good cultural fit for dynamic and collaborative environments. Their project diversity, including mobile testing for a major client like Google, indicates adaptability and exposure to different work cultures. The certifications in Machine Learning and AWS also show a proactive learning attitude.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, active participation in agile projects, and effective communication with cross-functional teams. Their experience in preparing status reports and involvement in reviews indicates good operational fit. Problem-solving and teamwork are also highlighted.