AI Training & Code Evaluation Experience (project-based)
Evaluated AI-generated code by reviewing correctness, efficiency, and adherence to coding standards such as PEP 8 and clean code principles. Produced structured review notes focused on logic quality, readability, edge-case coverage, and runtime/performance considerations. Detected hallucinations and reasoning errors in AI outputs to support model improvement. • Assessed code quality and coding standard compliance • Reviewed edge cases, logic, and readability • Identified hallucinations and reasoning issues • Provided evaluation-style feedback for improvement