Xiangrui Meng
Databricks
Xiangrui Meng is an Apache Spark PMC member and a software engineer at Databricks. His main interests center around developing and implementing scalable algorithms for scientific applications. He has been actively involved in the development and maintenance of Spark MLlib since he joined Databricks. Before Databricks, he worked as an applied research engineer at LinkedIn, where he was the main developer of an offline machine learning framework in Hadoop MapReduce. His Ph.D. work at Stanford is on randomized algorithms for large-scale linear regression problems.

Watch on demand
Session
MLflow Pipelines: Accelerating MLOps from Development to Production
Archive
Xiangrui Meng has spoken at past Data + AI Summit events.
Take a look through the session archive to find even more related content from Xiangrui Meng and others.
See the best of Data+AI Summit
Watch on demand