Real time ML at Roku - Feature Store Summit 2025

This talk details Roku's approach to achieving real-time feature serving at scale and dramatically improving the development velocity for our ML models. Covering the entire ML development lifecycle, from initial training to production deployment. A key focus will be on how they leveraged open-source projects, such as Chronon, to facilitate incremental aggregations for efficient feature computation. About the Speaker: Krishna is a senior ML engineer at Roku. He worked on setting up ML infrastructure using open source frameworks to boost developer velocity on productionizing ML models.