
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Led end-to-end QA for web, mobile, SaaS, and GenAI applications in Agile environments | Performed functional, regression, smoke, sanity, exploratory, API, and UAT testing | Executed API testing using Postman and performed data validation using MongoDB | Conducted GenAI chatbot testing including prompt validation, hallucination detection, and response accuracy checks | Validated AI workflows and multiple model responses to ensure accuracy and reliability | Managed defect tracking using Jira and ensured timely resolution before releases | Handled parallel testing across Dev, UAT, and Prod environments for critical deliveries | Performed release sign-offs and supported CI/CD-based delivery cycles | Collaborated with developers, product managers, and clients for quality assurance and delivery alignment | Delivered client demos and handled requirement discussions independently | Mentored junior QA engineers and supported test planning, execution, and reporting
Shri Ram Murti Smarak College Of Engineering, Technology & Research
B.Tech · Computer scienece
March 26, 2017 – March 26, 2021
Cultural Fit Analysis
The psychometric test score of 0 indicates a significant concern regarding the candidate's logical reasoning, work attitude, stress handling, and team collaboration. This score suggests a critical mismatch in cultural fit and requires further, successful assessment to be considered for the role.
Soft Skills & Operational Fit
The candidate demonstrates experience in client interaction, including conducting demos and handling client calls. They have a track record of collaborating effectively with developers, product managers, and clients to align on quality and accelerate releases. Experience in defect tracking and resolution using Jira, along with familiarity with Agile methodologies, indicates a structured approach to QA operations. The resume also highlights mentoring junior QA engineers, suggesting leadership potential.