Generative AI Specialist
I evaluated the quality of multimodal AI outputs within production data pipelines, proactively identifying systematic output error patterns. My recommendations were structured for remediation and shared directly with engineering to guide improvements. This process contributed to the establishment of analytical benchmarking standards across the department. • Reviewed and rated over 500 outputs for quality and consistency. • Built frameworks to standardize repeatable evaluation across cross-functional teams. • Created structured recommendations to remediate identified labeling and output errors. • Generated benchmarking data to monitor AI output quality longitudinally.