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. 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.
Databricks
Sr. Software Engineer
Databricks
Senior Data Scientist
Databricks
Senior Data Science Consultant
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.
I lead machine learning projects for cross-functional clients. I scope scalable ML system requirements, design and implement end-to-end ML pipelines, and present to external stakeholders, including C-level executives.
Occasionally, I teach ML and DL to clients and university students with wide-ranging technical capabilities; to date, I have trained over thousands of them. I sometimes mentor university students in an advisory capacity on their class projects.
I also give talks at conferences, including Open Data Science Conference, MLOps World, Data + AI Summit, or make guest appearances on podcasts or webinars.
Databricks
Sr. Developer Advocate
Databricks
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.
Denny Lee is a Developer Advocate at Databricks. He is a hands-on distributed systems and data sciences engineer with extensive experience developing internet-scale infrastructure, data platforms, and predictive analytics systems for both on-premise and cloud environments. He also has a Masters of Biomedical Informatics from Oregon Health and Sciences University and has architected and implemented powerful data solutions for enterprise Healthcare customers. His current technical focuses include Distributed Systems, Apache Spark, Deep Learning, Machine Learning, and Genomics.
Marketing Manager
Developer Advocate
Sr. Developer Advocate