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. Xiangrui has been actively involved in the development and maintenance of Spark MLlib since he joined Databricks. Previously, he worked as an applied research engineer at LinkedIn, where he was the main developer of an offline machine learning framework in Hadoop MapReduce. He holds a PhD from Stanford, where he worked on randomized algorithms for large-scale linear regression problems.
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