Help & Supportcareers@gravityer.com
QA Engineer with 6+ years in Web and Mobile Application Testing, leveraging AI tools.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Software QA Engineer with 6+ years of experience specializing in testing web and mobile applications. Proven track record in manual and automated testing using Selenium with Java and Playwright with TypeScript. Adept at leveraging AI tools (Claude AI, ChatGPT) to accelerate test development and improve coverage. Skilled at creating comprehensive test scenarios, maintaining documentation, and collaborating with cross-functional teams to deliver high-quality software. Demonstrated ability to reduce post-release defects by 25% and regression testing time by 30%.
Krishna Institute of Engineering & Technology
Master of Computer Application (MCA)
July 1, 2012 – July 1, 2015
Maharshi Dayanand University
Bachelor of Computer Application (BCA)
August 1, 2008 – August 1, 2011
Lynkit Solutions Pvt Ltd
QA Engineer (Automation + Manual)
November 1, 2023 – Present
India
National Informatics Centre (NIC)
Software Test Engineer
September 1, 2022 – October 1, 2023
India
Wipro Technology
Software Test Engineer
July 1, 2015 – April 1, 2018
India
Cultural Fit Analysis
The candidate's diverse project experience across different companies (Lynkit Solutions, NIC, Wipro) and domains (Web, Mobile, Government Portal, Banking, Telecom) indicates adaptability and a broad perspective. Their proactive approach to integrating new testing methodologies and tools, along with leveraging AI, suggests a growth mindset and a willingness to innovate, which aligns well with dynamic and forward-thinking team cultures. The emphasis on collaboration and establishing quality standards throughout the SDLC also points to a strong team-oriented cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in collaborating with cross-functional teams, managing defects under tight deadlines, and providing QA sign-off. Their ability to review requirements for completeness and conduct Root Cause Analysis indicates a proactive and thorough approach to quality assurance. The use of AI tools also suggests adaptability and a drive for efficiency.