Summary
Jeffrey Pang is a Distinguished Software Engineer at Databricks with 11+ years building large-scale distributed systems used by thousands of companies and hundreds of thousands of developers. He has led architecture and development across Azure Databricks, multi-tenant service design, Community Edition, and notebooks, and is a primary contributor to Apache Spark, Delta Lake, and MLflow. A former AT&T Labs researcher with a CMU PhD and a history of award-winning research at Intel and Microsoft, he blends deep systems research with production engineering and mentoring of both junior and senior engineers. Jeffrey’s background includes designing privacy and ML-powered network measurement tools and scalable game and file-server platforms, revealing a long-standing focus on performance, privacy, and measurement at internet scale.
10 years of coding experience
7 years of employment as a software developer
BA Computer Science, BA Computer Science at University of California, Berkeley
Ph.D Computer Science, Ph.D Computer Science at Carnegie Mellon University
c++, java, perl, c, r, scala, python, javascript