Cassie Esvelt

Software Engineer at Microsoft

Seattle, Washington, United States
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Summary

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Rockstar
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Top School
Cassie Esvelt is a software engineer based in Seattle with five years of experience building reliable systems, currently contributing at Microsoft since 2022. With a BS in Mathematics and Computer Science from Whitworth University, she blends strong analytical foundations with practical software development skills. Her early roles as a mathematics tutor, grader, and research intern demonstrate a talent for clear communication and mentoring alongside technical work. Comfortable moving between theory and implementation, she brings disciplined problem-solving from academic research into production engineering. Though still early in her career, Cassie’s background suggests she excels at translating complex mathematical concepts into maintainable code and collaborative team outcomes.
code5 years of coding experience
bookBachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Whitworth University
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Github Skills (24)

data-science10
mixture-of-experts10
machine-learning10
inference10
azure-machine-learning10
ml10
compression10
azure10
microsoft9
pytorch9
gpu9
data-parallelism9
deepspeed9
deep-learning9
optimization9

Programming languages (5)

TypeScriptC++Jupyter NotebookMarkdownPython

Github contributions (5)

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cassieesvelt/DeepSpeed

Oct 2022 - Jan 2023

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Contributions:40 pushes, 1 branch in 2 months
pytorchdeepspeeddeep-learningeffectiveoptimization
Open Source documentation for the Azure Architecture Center on Microsoft Docs
Contributions:8 pushes, 1 branch in 2 months
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