Thomas Rochman is a skilled software engineer with a background in developing and maintaining software solutions across various reputable companies. At Amazon, Thomas created a partner-facing platform for copyright information management and developed a flagship prediction service API to support machine learning models. During time at Google, infrastructure and processes were established to enhance the accuracy of food location queries and manage pricing information. Previous experience includes a position as a software developer at Epic, where Thomas improved a web application for clinicians' scheduling metrics, and an internship at teamLab, focused on multi-object tracking and automation for live performances. Additionally, an internship at IBM involved the creation of a dashboard for tracking Kubernetes server resources. Thomas holds a Bachelor's degree in Mathematics and Computer Science from the University of Virginia and participated in an exchange program at the University of Glasgow. Currently, Thomas is part of the Ranking and Foundational AI team at Meta.
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