AI-generated code correctness evaluation and output ranking
Don't disclose
Evaluated AI-generated code for correctness, idiomaticity, and real-world usability as part of AI/code review style quality assessment. Provided rankings and comparisons of model outputs based on correctness, clarity, and completeness. Delivered precise, actionable technical feedback aimed at improving output quality and reducing logic mistakes. • Assessed edge cases and logical errors in AI outputs • Checked security issues, style violations, and overall correctness • Ranked outputs across multiple quality dimensions • Wrote feedback that is specific and technically grounded
2017 - Present