Cade Daniel

Staff Software Engineer at Databricks

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.

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San Francisco, United States

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Databricks

520 followers

With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of Apache Spark™, Delta Lake and MLflow. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.


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