James D. is a software engineer at Databricks, specializing in optimizing data at scale within the Optimized Tables team. They previously completed a Master of Science and Bachelor of Arts at UC Berkeley, focusing their research on latency-aware scheduling optimization for database systems and AI/ML training and inference. In their career, James has also interned at Amazon Web Services and Scripps Research, among others, contributing to advancements in data processing and computational research. In their spare time, James enjoys cooking, baking, weightlifting, working on cars, and learning Korean.
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