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QA Automation Engineer with 8+ years in Selenium, Cypress & AI Model Testing
3.9+ years of experience in Manual Testing and Automation Testing with hands-on expertise in Selenium WebDriver (Java, 2 yrs), Cypress (JavaScript, 1.5 yrs), and working knowledge of Playwright. Proven ability to design and maintain robust automation frameworks (POM, Data-Driven, Hybrid, and BDD-Cucumber/TestNG), ensuring scalable and maintainable test coverage. Hands-on experience testing AI/ML-powered features in production EdTech products, validating model outputs, response accuracy, contextual relevance, bias detection, and edge-case behavior. Strong API testing experience using Postman; skilled in validating response codes, schema, headers, payload integrity, and authentication mechanisms. Basic knowledge of Rest Assured.
Sri Vasavi Engineering College
Diploma · Electrical & Electronics Engineering (EEE)
N/A – June 30, 2015
Z P H School, Duvva
SSC
N/A – May 31, 2012
Next Education India Pvt. Ltd.
QA Automation Engineer
July 1, 2022 – Present
Hyderābād, Telangana, India
Cyient Ltd.
GIS Engineer
November 1, 2015 – November 1, 2019
Hyderābād, Telangana, India
Hands-on Training in Selenium WebDriver Automation (Java)
Unknown
June 1, 2026 – Present
Working Knowledge - Cypress (JavaScript UI Automation) & Playwright
Unknown
June 1, 2026 – Present
Agile & Scrum Methodologies — Hands-on Experience
Unknown
June 1, 2026 – Present
Certified in Core Java
Unknown
December 1, 2022 – Present
Cultural Fit Analysis
The candidate's experience at Next Education India Pvt. Ltd. in an EdTech domain, coupled with their previous role as a GIS Engineer at Cyient Ltd., demonstrates adaptability to different industry sectors. Their involvement in AI/ML testing indicates a proactive approach to learning and applying new technologies, which aligns well with an innovative and growth-oriented culture. The breadth of tools and frameworks used (Selenium, Cypress, Playwright, Postman, Jenkins, JIRA, SQL) suggests a versatile and collaborative mindset, capable of integrating into diverse technical environments. The detailed descriptions of their contributions to various modules and workflows indicate a strong sense of ownership and responsibility, which are positive cultural attributes.
Soft Skills & Operational Fit
The candidate's resume highlights active participation in defect triage meetings and collaboration with AI/ML developers and product owners, suggesting good teamwork and communication skills. Their ability to conduct root-cause analysis and optimize test scripts indicates strong problem-solving and analytical capabilities. Experience with Agile/Scrum methodologies points to adaptability and a structured approach to development cycles. The detailed descriptions of their work in manual and automation testing, including AI/ML features, demonstrate a methodical and thorough operational fit for a senior QA Automation Engineer role.