Paul Zimmerman simplifies complex machine learning infrastructure at Uber. He focuses on Michelangelo, the company’s open-source ML platform, helping engineers build models without wrestling with custom code and fragile integrations.
Before Uber, he ran open-source and advocacy programs at Cisco. He spends his time teaching teams how to dismantle their chaotic MLOps toolchains and replace them with composable, cloud-native stacks.