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Results-driven QA Engineer with 5+ years of experience in functional and regression testing, now focused on AI testing and conversational systems. Skilled in validating LLM responses, prompt testing, hallucination detection, and multi-turn conversation testing. Experienced in API testing (Postman), agent workflow validation, and testing AI integrations with external tools. Strong in UAT, defect tracking (JIRA), and analyzing conversational data to ensure accurate and reliable AI system performance.
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Mtech · Digital communication
July 31, 2016 – November 29, 2018
Cultural Fit Analysis
Based on the provided psychometric test score of 0, there is insufficient data to assess the candidate's cultural fit, including logical reasoning, work attitude, stress handling, and team collaboration.
Soft Skills & Operational Fit
The candidate's resume indicates strong operational capabilities, including leading RCA on production incidents, mentoring junior QA engineers, and collaborating with product owners. They demonstrate a results-driven approach with quantifiable achievements in process optimization and efficiency. Experience with Agile/Scrum methodologies suggests adaptability to iterative development environments. However, the provided psychometric test score of 0 makes it impossible to objectively assess work attitude, stress handling, or team collaboration.