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QA Engineer with 4+ years in Manual & Automation Testing, and AI/ML Quality Assurance
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Manual Test Engineer with 4+ years of experience in manual testing, API validation, and basic automation. Skilled in functional and regression testing, defect identification, and test strategy design for web and API applications. Proficient in Playwright, Postman, SQL, and AI-assisted testing tools. Experienced in Agile environments with strong knowledge of test planning, defect management, and CI/CD workflows, ensuring high-quality and reliable software delivery.
VIT University, Chennai
Master in Business Administration (MBA)
August 1, 2024 – July 1, 2026
University of Calicut, Palakkad
Bachelor in Information Technology · Information Technology
June 1, 2018 – May 1, 2021
Amazon
QA TEST ENGINEER
July 1, 2023 – December 1, 2025
Chennai, Tamil Nadu, India
Amazon
ML DATA ASSOCIATE AWS OPS
November 1, 2021 – July 1, 2023
Chennai, Tamil Nadu, India
Google Data Analytics Professional Certification
June 1, 2026 – Present
Data Science Professional Certification
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Amazon in two distinct roles (ML Data Associate and QA Test Engineer) suggests adaptability and a willingness to take on diverse challenges within a large, fast-paced organization. Their involvement in Agile sprints and cross-functional collaboration indicates a team-oriented mindset. The pursuit of an MBA and certifications in Data Analytics and Data Science, alongside their QA experience, shows a proactive approach to learning and career development, which aligns with a culture of continuous improvement.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working with cross-functional teams to define testing requirements and improve product quality. Their experience in Agile environments, test planning, and defect triage indicates a good operational fit for structured development workflows. The ability to perform root cause analysis and debugging also points to strong problem-solving capabilities.