Developed on a human labeling platform for generating machine learning data annotation
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Consulted for, launched, and maintained over 300 different labeling use cases covering Groups, Events, Search, News, and Integrity
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Built out features including the automatic scheduling of experiments in the Search space, ground-truth data aggregation for uniform label consumption, and customizable response comparison for quality assurance