AI training support through technical content/code evaluation, validation, and structured QA feedback
Evaluated code quality and technical content to detect logical and programming errors. Validated correctness of technical information by comparing alternative solutions and outputs for consistency. Produced structured feedback and quality assurance documentation to support AI training and educational material review. • Reviewed code for quality and debugging opportunities • Identified and corrected logical/programming errors • Compared alternative outputs to verify intended behavior • Authored technical documentation and reported findings
2023 - 2023