Independent/Self-Directed AI Systems Evaluation & Automation
Evaluated AI system outputs and identified edge cases and failure patterns under live conditions. Worked with local AI models to experiment with prompts and coordinate system behaviors for improved output quality. Tested, debugged, and refined workflows through structured iteration and technical review. • Performed hands-on assessment of AI-generated responses. • Analyzed prompt-to-output relationships and identified inconsistencies. • Applied structured judgment to large volumes of labeling and evaluation tasks. • Utilized custom scripts for system coordination and validation.