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QA Automation Engineer with 5+ years in Manual & Automation Testing
QA Engineer with over 3.2+ years of hands-on experience in Manual and Automation Testing, specializing in Functional, Regression, Integration, and Non-Functional Testing. Skilled in Selenium WebDriver with Java, Playwright, Cucumber BDD, and Postman for robust API validation. Proficient in SQL for backend data verification and experienced in mobile application testing across Android and iOS platforms. Adept at writing clear, detailed test cases, performing cross-browser testing, and ensuring end-to-end software quality in Agile/Scrum environments. Possesses a strong understanding of the defect life cycle, test reporting, and collaboration with cross-functional teams to deliver high-quality releases. Additionally, proficient with AI tools such as ChatGPT, Gemini, Copilot, and GenAI to enhance test documentation and automation efficiency.
sspou Collage of Engineering Mumbai
BE
August 1, 2016 – June 30, 2020
N.H. Ranka Junior College
Higher School Education
June 1, 2014 – May 31, 2016
N.H. Ranka High School
Secondary School Education
June 1, 2012 – May 31, 2014
Nimbja security Solutions Pvt Ltd.
QA Engineer
February 1, 2023 – Present
India
Nimbja security Solutions Pvt Ltd.
QA Engineer
February 1, 2023 – March 1, 2025
India
Cultural Fit Analysis
The candidate's experience across different projects (Forex Dealing & Settlement, Investment Banking CRM) for major clients (HSBC, Barclays) indicates adaptability to diverse project requirements and client environments. The breadth of skills in both manual and automation testing, coupled with exposure to AI tools, suggests a willingness to learn and adopt new technologies, which aligns well with a dynamic and innovative culture. However, the lack of diverse project types beyond financial services might limit broader cultural exposure.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams and a strong understanding of the defect life cycle and test reporting, which are crucial for operational fit in an Agile environment. The use of AI tools for efficiency also suggests a proactive and adaptable approach to problem-solving.