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Cade Daniel is a highly skilled software engineer with extensive experience in various technology roles. Currently serving as a Staff Software Engineer at Databricks since October 2024, Cade previously worked as a Research Engineer at Anyscale, contributing to the speculative decoding project in vLLM. At Amazon Web Services, significant contributions included advancements in a model parallel framework that enhanced GPT3-175B training efficiency. Earlier experience includes software engineering internships at Microsoft, Facebook, and Qualtrics, along with foundational roles at Brigham Young University and Amazon.com. Cade holds a Bachelor's Degree in Computer Science from Brigham Young University, complemented by a Math minor.