Michael Crawshaw
Computer Science PhD Student at George Mason University
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolMichael Crawshaw is a Computer Science PhD student at George Mason University with eight years of experience focused on machine learning and optimization, aiming to design algorithms with provable efficiency guarantees. He brings hands-on experience from industry as a machine learning intern at Olive, where he implemented vision systems using PyTorch, MXNet, TensorFlow, Faster-RCNN, and neural architecture search (DARTS). His background in both mathematics and computer science from Ohio State underpins a strong theoretical bent paired with practical implementation skills. Based in Washington, DC, he blends research-driven rigor with applied engineering, often targeting reproducible, well-analyzed solutions rather than black-box models.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at The Ohio State University
Github Skills (42)
optimization10
meta9
reinforcement-learning9
parallel9
pytorch9
java9
python9
large-language-models9
machine-learning9
deep-learning9
mujoco9
hyperparameter-optimization9
ray9
tensorflow8
llm-inference8
Programming languages (1)
Github contributions (5)
mtcrawshaw/mtcrawshaw.github.io
Sep 2020 - Jan 2025
Contributions:21 pushes, 1 branch in 4 years 5 months
mtcrawshaw/meta
Jan 2020 - Feb 2022
Contributions:735 commits, 582 pushes, 32 branches in 2 years
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