Logan Adams is an engineer at Microsoft focused on accelerating deep learning through work on DeepSpeed and Brainwave, bringing three years of industry experience to high-performance ML infrastructure. Based in Seattle, he combines a solid academic foundation—a BS from University of Portland and an MS from University of Washington—with hands-on engineering at the intersection of software and hardware optimization. He specializes in making large-scale model training and inference more efficient, translating research-grade techniques into production-ready systems. Known for tackling performance bottlenecks, he brings both low-level systems insight and practical deployment experience to cross-disciplinary teams.
3 years of coding experience
Master of Science (MS), Master of Science (MS) at University of Washington
Preparatory School Diploma, Preparatory School Diploma at Bellarmine Preparatory
Bachelor of Science (BS), Bachelor of Science (BS) at University of Portland
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Contributions:41 pushes in 7 months
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