Powering Enterprise AI Applications with Data and Open Source Software

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.