Seattle, Washington, United States
• Developed end-to-end workflow for training and evaluation of face clustering classification models, reducing the frequency of costly reclustering by 60-70%.
• Fully automated classifier evaluation on custom data set partitions, integrated with CLI tools deployed to production.
• Extended the APCV Experimental Platform to visualize classifier evaluation results.