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QA Engineer with 1+ years in Manual and Automation Testing.
QA Engineer with 1.6 years of hands-on experience Manual and Automation Testing. Proficient in Functional, Regression, Integration, and Non-Functional Testing with practical exposure to tools like Selenium WebDriver with Java, Playwright, and Cucumber BDD for automation. Experienced in API Testing using Postman, and SQL for backend data validation. Familiar with mobile application testing on Android and iOS platforms. Capable of writing detailed test cases, executing cross-browser testing, and contributing to software quality in Agile/Scrum environments. Solid understanding of the defect life cycle, test execution, reporting, and collaboration with cross functional teams. Hands-on experience using Al tools such as ChatGPT, GitHub Copilot, and GenAl to enhance testing documentation and improve automation efficiency.
English School Narkhed.
Secondary School Education
N/A – Present
Institute Of Computer Management Studies Kasegaon Pandharpur
B.sc · [ECS]
N/A – Present
K.S.P.V College Narkhed.
Higher School Education
N/A – Present
Penta Software Consultancy Services(I)Pvt Ltd.
Software Test Engineer.
August 1, 2024 – Present
India
Penta Software Consultancy Services(I)Pvt Ltd.
Software Test Engineer.
August 1, 2024 – April 30, 2025
India
Cultural Fit Analysis
The candidate's experience in diverse testing methodologies (manual, automation, API, mobile, cross-browser) and exposure to Agile environments indicates adaptability. The use of AI tools for efficiency suggests a proactive and modern approach to problem-solving, which aligns with a culture of innovation. The project descriptions, while brief, show engagement with different application types (IPO management, forex risk management). However, with only 1.6 years of experience, the breadth of cultural fit is still developing.
Soft Skills & Operational Fit
The candidate demonstrates an understanding of collaborative environments through participation in Agile/Scrum processes and collaboration with cross-functional teams. The description of using AI tools suggests an inclination towards efficiency and adopting new technologies. However, without direct assessment data, the depth of these soft skills and operational fit cannot be fully determined.