Matthew Agee

Machine Learning Engineer at The Clorox Company

San Jose, California, United States
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Summary

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Senior
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Top School
Matthew Agee is a Machine Learning Engineer with a decade of experience delivering data-driven solutions across academia and industry. He blends applied mathematics and chemical physics with hands-on ML and software engineering, currently building production data pipelines and NLP tools at The Clorox Company. His background includes optimizing scientific software to deliver as much as 40x performance gains and automating workflows that reduce setup times from hours to minutes, reflecting a knack for turning complex problems into practical tooling. At Clorox he sets up data pipelines with Apache Airflow and Google Cloud Dataflow and productionizes DS applications using Django and React on Google App Engine, while also building tools to inspect consumer clusters and analyze text responses. He began in computational chemistry and pivoted to data science and scalable software, pursuing roles that blend math, modeling, and software to extract actionable insights. Based in San Jose, CA, he holds a B.S. in Applied Mathematics and Chemical Physics from UC San Diego and an M.S. in Theoretical Chemistry from UC Irvine, demonstrating a strong academic foundation and a production-focused mindset.
code10 years of coding experience
job4 years of employment as a software developer
bookUniversity of California, San Diego
bookMaster’s Degree, Theoretical Chemistry, Master’s Degree, Theoretical Chemistry at University of California, Irvine
languagesEnglish, Spanish
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Github Skills (32)

python10
jupyter10
image-processing10
image10
notebooks10
plots10
computer-vision10
bokeh9
javascript9
visualization9
holoviews9
machine-learning9
data-visualisation9
browser9
altair9

Programming languages (5)

TypeScriptC++CJupyter NotebookPython

Github contributions (5)

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magee256/yolo_v2

Jan 2018 - Aug 2018

Contributions:20 commits, 5 pushes, 1 branch in 7 months
magee256/TurbomoleScripts

Sep 2016 - Apr 2017

Contributions:2 PRs, 22 pushes, 1 branch in 7 months
calculationmechanicalquantumquantum-computing
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