Analytical and detail-oriented AI Evaluation and Quality Assurance professional with over 9 years of experience reviewing structured tasks, validating outputs against gold standards, and identifying reasoning gaps, edge cases, and ambiguous instructions.
Currently serving as a Project Team Lead, I evaluate task quality, define expected behaviors, and document decision logic to ensure consistent, high-accuracy outcomes in complex, data-driven environments. I have a strong track record of improving quality metrics (95% → 98%) through structured evaluation frameworks, feedback loops, and training.
My experience spans AI-adjacent evaluation work, data validation, QA audits, and stakeholder collaboration—well aligned with roles focused on AI agent behavior, scenario review, and logical consistency.
Core strengths:
• AI Task & Scenario Evaluation
• Gold Standards & Expected Outcomes
• Logical Reasoning & Cause–Effect Analysis
• Quality Assurance & Error Analysis
• Ambiguity Reduction & Instruction Clarity
• Documentation & Feedback Systems
