Daniel Leon is a skilled data scientist and engineer with a diverse background in AI product development, research, and software engineering. Daniel's recent experience includes independent work as an independent data scientist focusing on AI solutions and a position as a software engineer at Meta, where responsibilities included creating data pipelines and managing large-scale evaluations for generative video AI products. Previous roles at the University of Washington involved significant contributions in chemical and bioengineering research, including developing diagnostic models and conducting advanced data analyses. Daniel holds a Bachelor of Science in Chemical Engineering from the University of Washington.
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