Chris Swierczewski
Machine Learning Researcher
Seattle, Washington, United States
Summary
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RockstarChris 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.
18 years of coding experience
Github Skills (78)
python10
mxnet10
sagemaker10
amazon-sagemaker10
regression10
mlops10
deep-learning10
interval-arithmetic10
riemann10
science10
julia10
symbolic-computation10
jupyter10
data-science10
decomposition10
Programming languages (5)
Github contributions (5)
uwhpsc-2016/lectures
Feb 2016 - Jun 2016
Contributions:70 commits, 58 pushes, 1 branch in 3 months
notespythonclass-lecturesin-classmachine-learning
uwhpsc-2016/syllabus
Jan 2016 - Jun 2016
Contributions:101 commits, 1 PR, 98 pushes in 4 months
spring-bootcourse-syllabusspringsyllabusjava
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