Gametime
Jacob Beaudin is a Senior Machine Learning Engineer and Senior Data Engineer at Gametime, having previously worked at Rivian, Mercedes-Benz Research & Development North America, and other organizations. At Gametime, Jacob successfully architected a migration to Astronomer Cosmos, redesigned Apache Airflow deployments, and implemented innovative solutions that significantly improved data processing speed and reduced costs. Jacob has a strong track record in optimizing data pipelines and managing cloud resources, demonstrated by achievements at Rivian where data ingestion costs were reduced by 85% and self-driving feature validation processes were streamlined. Jacob's earlier experience includes automating data annotation processes at Mercedes-Benz and serving as a Course Producer at USC. Educational credentials include a Master of Science in Analytics and a Bachelor of Science in Industrial & Systems Engineering, both from the University of Southern California.
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Gametime
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We built Gametime from the ground up to create mobile access to the best live events. To start we subtracted printing from the equation (rendering mobile access only - no more paper jams!). We also do the hard work of searching for the right options - algorithmically examining thousands of potential tickets and presenting only the best values - not an impossibly long list of options. With payment encrypted and stored on the phone, checkout takes 9 seconds instead of the 5 minutes fans might invest filling out a web form. From our founding in 2012 to launching in over 50 cities today, Gametime continues to put fan experience above all else to unite communities.