Software Engineer – AI Training & Code Evaluation (Freelance)
Provided AI training and code evaluation by designing and reviewing 500+ Python scripts for data cleaning, exploratory analysis, and visualization. Assessed submissions for correctness, efficiency, and readability, and produced 300+ human-readable summaries describing code logic and evaluation rationale. Supported instructional documentation and feedback loops that improved downstream model or solution quality and reviewer scoring. • Reviewed 500+ Python scripts and evaluated code quality across datasets exceeding 1M rows. • Authored 300+ human-readable summaries for AI training datasets with an average reviewer quality score of 4.7/5.0. • Delivered guidance on hypothesis testing, feature engineering, and ML workflows to reduce project turnaround time by 35%. • Supported 60+ ML projects with targeted feedback that improved model validation accuracy by 22% on average.