Chris Stoafer

Staff Machine Learning Engineer at Indeed

Seattle, Washington, United States
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Summary

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Senior
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Top School
Chris Stoafer is a Staff Machine Learning Engineer in Seattle with 11 years of experience blending advanced physics research and production ML at companies including Indeed, The Walt Disney Company, Transfix, and Capital One. He holds a PhD in Plasma Physics from Columbia and has a proven track record of translating complex experimental diagnostics and signal-processing techniques into scalable data products and models. At Transfix he led data science efforts on logistics problems, and at Indeed he progressed from Senior Data Scientist to Staff ML Engineer driving production ML initiatives. Chris’s background in building multi-point diagnostics and bespoke analysis pipelines gives him a deep practical expertise in uncertainty quantification, time-series and spectral analysis that he brings to real-world ML systems. He combines rigorous academic training with hands-on engineering, making him adept at turning noisy, instrument-level data into robust, deployable solutions.
code12 years of coding experience
job12 years of employment as a software developer
bookCalifornia Polytechnic State University, San Luis Obispo
bookDoctor of Philosophy (Ph.D.), Plasma Physics and Nuclear Fusion, Doctor of Philosophy (Ph.D.), Plasma Physics and Nuclear Fusion at Columbia University
languagesGerman
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Github Skills (23)

data-science9
data-structure9
pandas9
python9
mcmc9
bayesian-inference9
data-analysis9
data-structures8
pyro8
probabilistic-programming8
jit6
jax6
gpu6
numpy6
tpu3

Programming languages (2)

HTMLPython

Github contributions (5)

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cstoafer/boardroom

May 2016 - Aug 2017

Contributions:31 PRs, 29 pushes, 28 branches in 1 year 3 months
insiderstradestrading-bottrading
Contributions:6 commits, 4 pushes in 3 months
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