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Senior QA Engineer with 4+ years of experience in automation and manual testing, with a strong focus on AI-driven QA workflows and vibe coding. Expert in Playwright, API testing, and k6 performance testing. Proficient in leveraging AI tools (GitHub Copilot, ChatGPT, Claude) to accelerate test design, generate test cases, and build intelligent testing frameworks. Skilled in SDLC/STLC, AI-augmented exploratory testing, prompt engineering for QA, and basic security testing (OWASP Top 10). Passionate about improving product quality through smart automation and AI-first engineering practices.
Reva Institute Of Technology And Management
B.E · Computer science
July 3, 2012 – June 13, 2016
Cultural Fit Analysis
The candidate's experience with AI-driven QA and 'vibe coding' suggests a fit for organizations that value innovation, efficiency, and modern testing methodologies. The project diversity, though limited to QA automation and AI integration, shows a focused approach. The target role of QA Automation Engineer aligns well with the candidate's stated skills and experience.
Soft Skills & Operational Fit
The candidate's resume highlights a proactive approach to adopting new technologies like AI in QA, suggesting a strong inclination towards innovation and efficiency. The focus on 'vibe coding' and AI-augmented strategies indicates a modern, adaptable mindset. However, without psychometric test results, a full assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.