QA Automation Engineer with 4+ years in AI/ML & Automation Testing
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Assessing your cultural and operational fit
Detail-oriented QA Engineer with 4.5+ years of experience at Amazon (ADC & AWS) in manual, automation, and AI/ML testing of large-scale, customer-facing applications. Strong expertise in Selenium + Java automation frameworks, end-to-end testing, and release management across global marketplaces. Hands-on experience validating AI/ML models, datasets, and Retrieval-Augmented Generation (RAG) pipelines for accuracy, bias detection, and grounding consistency.
Madras University
Master in Business Administration
August 1, 2022 – June 30, 2024
SASTRA University
Bachelor of Commerce (Hons) · Computer Application
August 1, 2018 – June 30, 2021
Amazon Development Center (ADC)
Digital Associate (Quality Services, QS)
August 1, 2021 – Present
Chennai, Tamil Nadu, India
Amazon Web Services
Digital Associate(MLDS)
August 1, 2021 – December 1, 2021
Chennai, Tamil Nadu, India
Cultural Fit Analysis
The candidate's experience at Amazon, a large global technology company, suggests adaptability to structured environments and large-scale operations. Their involvement in AI/ML and RAG testing, along with traditional QA, indicates a willingness to embrace new technologies and evolving testing paradigms. The leadership and mentoring experience, coupled with collaboration across teams, aligns with a culture that values teamwork and continuous improvement. The diversity of testing types and exposure to global marketplaces further supports a strong cultural fit for a dynamic QA Automation Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working effectively with developers, TPMs, and PMs. Their experience in leading a team of QA associates and serving as a POC for an annotation team highlights leadership and coordination abilities. The candidate also shows initiative in suggesting process improvements and developing tools to enhance productivity, indicating a proactive and problem-solving mindset. Their ability to manage audits and exception handling points to strong attention to detail and operational rigor. The candidate's experience at Amazon suggests an ability to thrive in a fast-paced, high-volume environment.