AI Model Output Evaluator (Software Engineer, JerseySTEM)
I performed structured evaluation of AI-generated outputs to identify edge cases, reasoning gaps, and failures. This involved validating outputs from AI-assisted workflows and ensuring reliability and usability of results. My efforts contributed directly to improving data quality standards for large-scale pipelines. • Designed and implemented validation checks for anomaly detection. • Improved output reliability through comprehensive evaluations. • Engaged in collaborative refinement of data validation processes. • Focused on accuracy, logical consistency, and completeness.