
Francisco Javier Arceo
He / him / his
Senior Principal Software Engineer @Red Hat | Kubeflow Steering Committee Member | Feast Maintainer
Francisco Javier Arceo has spent over a decade working in AI/ML, software, and fintech at AIG, the Commonwealth Bank of Australia, Goldman Sachs, Fast, Affirm, and Red Hat in roles spanning software, data engineering, credit, fraud, data science, and machine learning. He holds graduate degrees in Economics & Statistics and Data Science & Machine Learning from Columbia University in the City of New York and Clemson University. He is a maintainer for Feast, the open source feature store and a Steering Committee member for Kubeflow, the open source ecosystem of Kubernetes components for AI/ML.
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Session
Powering Enterprise AI Applications with Data and Open Source Software
Managing and serving data efficiently is critical to deploy successful AI applications at scale. Feature stores have emerged as an essential tool for organizations, centralizing and streamlining the management of data for AI/ML, from raw data ingestion to real-time model inference.