Robert Chesebrough
Solutions Architect at Intel Corporation
Rio Rancho, New Mexico, United States
Summary
👤
Senior🎓
Top SchoolRobert Chesebrough is a Solutions Architect and data scientist with over a decade of hands-on experience applying AI and predictive analytics across industries, currently evangelizing OneAPI and model optimization at Intel. He combines deep technical consulting with developer-facing technical communication—delivering conference talks, webinars, and sample code that helped drive adoption of vectorization and parallelism. His background spans applied R&D and production systems, from predictive maintenance and anomaly detection for railcars and utilities to inventive projects like geospatial dinosaur bone-bed prediction and chocolate-bloom image regression. He partners with C-suite stakeholders and engineering teams to translate research-grade models into deployable pipelines and measurable business impact. Based in Rio Rancho, NM, he has a physics BS and a long history of performance optimization, compilers, and developer enablement that give him uncommon fluency between low-level performance tuning and high-level AI solutions. Colleagues describe him as a prolific, creative modeler who thrives on turning quirky domain problems into robust, production-ready AI applications.
9 years of coding experience
33 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at University of New Mexico School of Arts & Sciences
Github Skills (46)
apl10
pytorch10
group-policy10
intel10
python10
jupyter10
rendering10
fortran10
mxnet10
cpu10
curve-fitting10
power-management10
oneapi10
trellis10
toolkits10
Programming languages (4)
Github contributions (5)
IntelSoftware/Machine-Learning-using-oneAPI
May 2022 - Dec 2022
Machine Learning using oneAPI. Explores Intel Extensions for scikit-learn* and NumPy, SciPy, Pandas powered by oneAPI
Contributions:55 commits, 114 pushes, 1 branch in 7 months
Contributions:26 commits, 20 pushes in 1 month
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