Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Corey Zumar

Corey Zumar
Software Engineer, Databricks


Corey Zumar is a software engineer at Databricks, where he’s working on machine learning infrastructure and APIs for model management and production deployment. Corey is also an active contributor to MLflow. He holds a master’s degree in computer science from UC Berkeley. At UC Berkeley’s RISELab, he was one of the lead developers of Clipper, an open source project and research effort focused on high-performance model serving.


4:20pm5:00pm Wednesday, March 27, 2019
Secondary topics:  Model lifecycle management
Corey Zumar (Databricks)
Average rating: ****.
(4.89, 9 ratings)
Developing applications that leverage machine learning is difficult. Practitioners need to be able to reproduce their model development pipelines, as well as deploy models and monitor their health in production. Corey Zumar offers an overview of MLflow, which simplies this process by managing, reproducing, and operationalizing machine learning through a suite of model tracking and deployment APIs. Read more.