QA Engineer with 6+ years in Manual, API, and AI Chatbot Testing
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Assessing your cultural and operational fit
QA Engineer with 6+ years of experience in manual testing, API testing, and AI chatbot validation, along with hands-on exposure to Selenium WebDriver, TestNG, and Maven. Strong expertise in functional, regression, and API testing, with a proven track record of reducing defects and improving application quality. Well-versed in STLC and SDLC processes, including test planning, test execution, defect lifecycle management, and test reporting. Experienced in Agile/Scrum environments, effectively collaborating with cross-functional teams to deliver high-quality and scalable solutions.
Savitribai Phule Pune University
Bachelor's Degree
August 1, 2014 – June 30, 2017
BookIT Digital Technologies Pvt. Ltd.
Senior Test Engineer
February 1, 2024 – Present
Pune, Maharashtra, India
Ignite Solutions Pvt. Ltd.
QA Engineer
June 1, 2023 – October 31, 2023
Pune, Maharashtra, India
Smart Software Services Pvt. Ltd.
Software Test Engineer
July 1, 2019 – May 31, 2023
Pune, Maharashtra, India
Cultural Fit Analysis
The candidate has experience across different company sizes and industries (Ignite Solutions, BookIT Digital, Smart Software Services), indicating adaptability. Their involvement in projects impacting thousands of users and reducing defects suggests a results-oriented mindset. The breadth of testing skills (manual, automation, API, performance, AI chatbot) shows a willingness to learn and apply diverse techniques, which aligns with a dynamic work environment. However, the lack of diverse project types beyond standard application testing (e-commerce, education) and AI chatbots might suggest a narrower scope of experience in certain specialized QA areas.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through working with developers and product teams in Agile sprints. Their experience in leading end-to-end testing and ensuring timely delivery indicates good ownership and operational fit. The ability to identify critical performance gaps and improve chatbot reliability suggests a proactive and analytical approach to quality assurance.