Julian Beaulieu is a software engineer with eight years of experience focused on building data infrastructure for training large multimodal models, currently contributing to Amazon AGI in Seattle. He has rotated through multiple Amazon teams and industry roles—spanning Books, internships, and a data engineering stint at LyondellBasell—bringing production-grade engineering to research-driven ML workflows. With an MS in Computer Science from Texas A&M (3.9 GPA) and hands-on research experience as a graduate assistant, he bridges academic rigor and scalable systems design. Julian’s background shows a pattern of moving between research and production, enabling fast iteration on data pipelines that power model training at scale.
8 years of coding experience
2 years of employment as a software developer
Associate of Science - AS, Computer Science, Associate of Science - AS, Computer Science at MiraCosta College
Master of Science - MS, Computer Science, 3.9, Master of Science - MS, Computer Science, 3.9 at Texas A&M University
Bachelor's of Science, Computer Science, Bachelor's of Science, Computer Science at University of California, Riverside
Contributions:53 pushes, 4 branches in 3 years 10 months
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