Ian Faust
Machine Learning Engineer at Intel Corporation
Oberschleißheim, Bavaria, Germany
Summary
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Rockstar🎓
Top SchoolIan Faust is a machine learning engineer and former experimental physicist with 13 years of R&D experience spanning mechanical and electrical design, reverse engineering, manufacturing, and software development. He holds a PhD from MIT and has applied statistical, likelihood-based and Bayesian ML methods to large experimental datasets in fusion research, alongside hands-on instrumentation work from vacuum-ultraviolet spectrometers to RF and X-ray systems. Currently contributing to oneDAL at Intel, Ian combines low-level C and systems experience with Python data-science tooling to move algorithms into production-ready libraries. Known for rapid prototyping and restoring complex experimental hardware, he brings a rare blend of lab-hardened experimental know-how and production ML engineering.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Nuclear Engineering, Doctor of Philosophy (PhD), Nuclear Engineering at Massachusetts Institute of TechnologyB.S.E, Nuclear Engineering, B.S.E, Nuclear Engineering at University of Michigan
Github Skills (56)
intel10
python10
data-science10
scikit10
statistics10
big-data10
machine-learning10
machine-learning-algorithms10
analytics10
oneapi10
gpu10
scikit-learn10
quicksort10
cpp10
plates10
Programming languages (6)
Github contributions (5)
icfaust/CATSAD
Dec 2020 - Nov 2022
Contributions:281 commits, 10 pushes, 4 branches in 1 year 11 months
icfaust/IshiharaMC
Aug 2018 - Jun 2022
Ishihara Test plates generated using Monte Carlo procedures
Contributions:25 commits, 2 PRs, 19 pushes in 3 years 9 months
monte-carlocarloplatesprocedures
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