Developed SOTA calibration-based recommendation based fairness metrics, and applied them to internal systems.
Researched, created, and deployed state-of-the-art large-scale sparse user-author-content models across Instagram, Integrity, Content-Understanding, and more.
Developed transformer-based two-tower user-content models for cold-start unconnected content discovery that achieved half of our topline goals.
Led ongoing project to learn hierarchical structure on top of existing user-content modeling.
Advised two PhD interns on successful internship projects, resulting in accepted return offers.