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Senior QA and Automation Engineer with 6 years of experience in AI and LLM quality assurance, evaluation design, data validation, and automation testing. Experienced in building Python-based test automation and reliability checks for prompt-driven systems, regression testing, ETL validation, and large-scale data quality workflows. Strong background in Playwright, Selenium, Appium, PyTest, SQL, observability, dashboarding, and cross-functional debugging of production issues.
Cultural Fit Analysis
The candidate's experience spans various domains including financial services, e-commerce, and general software development, indicating adaptability. The target role of 'AI Research Engineer' is a partial match with the candidate's 'AI/LLM QA Engineer' background. While there is strong AI/LLM QA experience, the 'Research Engineer' aspect typically requires deeper involvement in model development, algorithm design, and theoretical understanding beyond quality assurance. The candidate's project diversity is good, but the direct alignment with a research-focused role is moderate.
Soft Skills & Operational Fit
The candidate demonstrates a collaborative approach through participation in continuous improvement initiatives and working with ETL developers and business analysts. Experience in Agile SDLC suggests adaptability and teamwork. The psychometric test results are not available, so a full assessment of work attitude, stress handling, and team collaboration cannot be made.