QA Engineer with 3+ years in end-to-end software testing, functional, and API automation.
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Results-driven QA Engineer with 3+ years of experience in end-to-end software testing for product-based environments, covering functional, regression, API, automation, and AI-assisted testing. Skilled in designing test strategies, identifying critical defects, and ensuring high-quality releases. Proficient in Azure DevOps, Postman, Selenium, JMeter, Playwright, Rest Assured, AI-powered QA agents, prompt engineering, and Agile methodologies.
St Joseph Engineering College
Master of Technology (M.Tech) · Digital Electronics and Communication Systems
August 1, 2018 – June 30, 2020
KVG College of Engineering
Bachelor of Engineering (B.E.) · Electronics and Communications Engineering
August 1, 2012 – June 30, 2016
ReadyNetworks India Pvt Ltd.
Software Quality Assurance Engineer
June 1, 2022 – June 1, 2025
Bengaluru, Karnataka, India
Xelate
Software Quality Assurance Trainee
February 1, 2022 – May 1, 2022
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate's experience across various testing types (functional, regression, API, performance, accessibility, security) and tools (Selenium, Playwright, JMeter, Postman, Azure DevOps, Jira) demonstrates a broad skill set suitable for diverse project environments. Their work in an Agile setting and collaboration with development teams indicates adaptability and a team-oriented approach. The proactive adoption of AI in QA suggests a forward-thinking mindset, which would be a good cultural fit for organizations embracing new technologies. The role at ReadyNetworks India Pvt Ltd. for over 3 years shows commitment and stability.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a QA Engineer role, evidenced by their structured approach to test plan design, execution, and defect management. Their experience in leading end-to-end testing, collaborating with development teams, and presenting quality metrics indicates good communication and teamwork skills. The use of AI-powered QA agents suggests a proactive and innovative mindset, which aligns well with modern QA practices. Their ability to reduce manual testing efforts by 40% highlights efficiency and a results-driven attitude.