We’re excited to chat with Hangfei Lin on January 19th, 1-2pm PST/4-5pm EST for our AMA session on all things MLOps. Hangfei is a staff software engineer at LinkedIn. He works on machine learning infrastructure and systems. He builds feature store and feature management platforms that scale and power machine learning development and application in Linkedin. Hangfei is a main contributor and driver for the open-source Feathr(https://github.com/feathr-ai/feathr), a very popular feature store library that is used in Linkedin for many years. Feathr is scalable, highly customizable, and provide native python API for easy workflow. For this session, join us to ask questions about: • The emerging MLOps toolchain • Feature store in ML workflow • Best practices for using feature store in ML workflows