Joe Cheuk is a Software Engineer with significant experience in various high-profile technology companies. Currently employed at Databricks since June 2022, Joe focuses on Trust & Safety, Privacy & Compliance. Prior to this role, Joe served at Meta from January 2020 to June 2022 as a Team Lead for the Facebook Feature Engineering Framework Privacy team, contributing to the development of machine learning infrastructure for advertisements. Joe's earlier experience includes positions at Google, where work involved Cloud, Backend API, Distributed Systems, Microservices, and Machine Learning; Avanade, as a Software Consultant for clients like Charles Schwab and the New York City Department of Education; and as a Founder at Alpha-CX Group Inc. Joe also worked as a Software Engineer at IBM Canada and served as a Teaching Assistant at the University of Toronto. Joe holds a Bachelor's Degree in Computer Science from the University of Toronto and has contributed to the publication "AutoML for Contextual Bandit PayOff."
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