Chris Swierczewski

Machine Learning Researcher

Seattle, Washington, United States
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Summary

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Rockstar
Chris Swierczewski is a Machine Learning Researcher and applied mathematician based in Seattle with 18 years of experience bridging rigorous quantitative methods and practical ML solutions. He blends deep theoretical grounding with hands-on experimentation, focusing on turning complex mathematical ideas into reproducible models and analyses. Comfortable in both research and product-adjacent settings, he emphasizes clarity, robustness, and measurable impact in model development. Though primarily research-oriented, he also brings an engineer’s pragmatism to deployment challenges and collaboration across teams. His long tenure suggests a track record of evolving with the field and mentoring others through shifting technical landscapes.
code18 years of coding experience
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Github Skills (65)

python10
mxnet10
sagemaker10
amazon-sagemaker10
regression10
mlops10
deep-learning10
imputation10
interval-arithmetic10
cupy10
riemann10
homotopy-type-theory10
science10
julia10
symbolic-computation10

Programming languages (6)

JavaC++CJupyter NotebookRubyPython

Github contributions (5)

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uwhpsc-2016/lectures

Feb 2016 - Jun 2016

Notes, slides, and code from the in-class lectures.
Contributions:70 commits, 58 pushes, 1 branch in 3 months
notespythonclass-lecturesin-classmachine-learning
cswiercz/pinopticon

Oct 2016 - Jun 2019

Contributions:14 commits, 12 pushes, 1 branch in 2 years 8 months
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