Join us for live MLflow Community Office Hours and ask us your MLflow questions. The MLflow community Q&A style online event occurs bi-weekly on Thursdays. These sessions allow our community to ask questions about MLflow and get to learn what we are building, planning to build and know about recently released features.
Sr. Software Engineer
Corey Zumar is a software engineer at Databricks, where he’s spent the last four years working on machine learning infrastructure and APIs for the machine learning lifecycle, including model development and production model management. Corey is an active developer of MLflow and leads open source MLflow development efforts at Databricks. He holds a master’s degree in computer science from UC Berkeley.
Ben Wilson has been a professional data scientist for the past decade, working in the semi-conductor manufacturing, B2B, and e-Retail industries. For the past two years, he has worked as a resident solutions architect at Databricks with a focus on machine learning production architecture with companies ranging in size from 5-person startups to global Fortune 100 companies, helping to build, architect, and advise on stable, cost-efficient implementations that are maintainable and robust.
Ben is the creator and lead developer of the Databricks Labs AutoML project, a Scala- and Python-based toolkit for Apache SparkML, focused on simplifying machine learning feature engineering, model tuning, and pipeline-enabled modeling to assist data scientists in the usage of the best practices of model development in a production environment.
Sr. Developer Advocate
Jim Hibbard is a Developer Advocate at Databricks. Prior to that, he worked at Seattle Children’s Hospital where he developed frameworks and methods for integrating medical records with multi-omics datasets to improve care. He is currently working on improving machine learning infrastructure and model management as part of the extended MLflow team.