Jerry Chen is a Principal Software Engineer in Palo Alto with seven years of post-graduate industry experience and a deep track record building large-scale distributed systems at Meta. He led the creation of high-performance stream processing platforms (Stylus, Turbine) and core storage improvements (HBase, HDFS) that power analytics, messaging, and real-time pipelines across Facebook, Instagram, and other products. Since 2019 he’s focused on PyTorch and ML infrastructure, driving a complete training and inference stack on new hardware that scaled models and delivered measurable product wins for Ads and Feeds. Known for marrying systems engineering with product impact, he combines hands-on implementation with cross-team leadership—previously managing HBase/HDFS efforts and later serving as technical lead for personalization atop PyTorch. Educated at Peking University and the University of Minnesota (MSEE), he brings both rigorous academic grounding and a history of influencing large open systems that operate at internet scale.
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