Epson Heringer
Senior Machine Learning Engineer at TELUS Digital
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolEpson Heringer is a Senior Machine Learning Engineer with a decade of experience building and deploying ML systems at scale, currently driving initiatives at TELUS Digital after roles at Loblaw Digital and a startup acquisition. He blends a strong big-data focus—especially Apache Spark—with production deployment expertise, having moved models from research to reliable, operational services. His background includes a Ph.D. in Astrophysics from the University of Toronto, bringing rigorous scientific methods and quantitative modeling to business problems. Epson’s path spans academia, healthcare analytics, and product-focused startups, giving him a rare mix of research depth and practical engineering. He is active on GitHub and known for pragmatic, scalable solutions that bridge experimentation and production.
10 years of coding experience
7 years of employment as a software developer
Ph.D., Astrophysics and Astronomy, Ph.D., Astrophysics and Astronomy at University of Toronto
Github Skills (24)
xai10
interpretable-machine-learning10
transparency10
iml10
blackbox10
lime9
naive-bayes9
differential-privacy9
temperature9
science9
supernova9
wolfram-language8
python8
scikit-learn8
machine-learning8
Programming languages (3)
Github contributions (5)
Heringer-Epson/routines_DTD
Mar 2018 - Aug 2019
Codes used in a project on delay time distributions.
Contributions:70 PRs, 91 pushes, 4 branches in 1 year 4 months
distributionsdelay
Heringer-Epson/TARDIS-bundle
May 2017 - Aug 2018
Contributions:62 pushes, 1 branch in 1 year 3 months
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