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QA Engineer with 3+ years in Manual & Automation Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Engineer with 3 years of experience in Manual Testing. Skilled in designing and executing test cases, functional and regression testing, Experienced in working in Agile environments, collaborating with cross-functional teams to ensure high-quality software delivery. Strong focus on defect identification, test process improvement, and delivering reliable applications on time.
PVPIT Savitribai Phule Pune University
BE · Mechanical Engineering
N/A – June 30, 2020
Indium.tech
Senior test engineer
December 1, 2022 – Present
India
Opencart (Ecommerce)
December 1, 2022 – November 30, 2025
• Automated register and login functionality test cases for critical user workflows using Selenium WebDriver. • Developed and maintained automation scripts using Selenium WebDriver and TestNG, utilizing reusable functions, XPath locators, and data-driven testing to improve test coverage and execution efficiency. • Implemented dynamic XPath locators and synchronization techniques to handle dynamic web elements effectively. • Ran automation suites in Docker containers for consistent and scalable test environments • Integrated test scripts with CI/CD tools for automated build and test execution
Quality Award – Recognized for delivering high-quality testing and defect-free releases
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different project types (e-commerce, transportation & logistics) and the use of diverse testing tools and methodologies suggest adaptability. The 'Quality Award' indicates a commitment to high standards, which aligns with a culture valuing quality. The breadth of skills listed (manual, automation, API, CI/CD) shows a willingness to learn and apply various techniques.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work in Agile environments, participate in team discussions (backlog refinement, bug triage), and maintain test artifacts, indicating good operational fit. The use of AI tools suggests adaptability and a proactive approach to improving efficiency.