Ryan Marr
Machine Learning Engineer at Hidonix
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolRyan Marr is a Machine Learning Research Engineer with a decade of experience applying ML and software engineering to interdisciplinary problems across healthcare, clinical trials, finance, GIS, manufacturing, and materials science. He blends academic rigor from an MS in Artificial Intelligence at USC and hands-on research roles (USC ICT HATS lab, Princeton) with production-focused engineering at Canon Medical Informatics and Keck Medicine. Ryan has co-founded a startup and contributed to R&D teams, showing both entrepreneurial initiative and the ability to move models into real-world clinical and research settings. Now at Hidonix, he focuses on R&D that bridges novel ML research and deployable systems. Known for pairing neuroimaging and clinical domain knowledge with practical software tooling, he often sits at the intersection of experimentation and productionization. Based in Los Angeles, he brings a curious, multidisciplinary mindset that favors applied impact over academic abstraction.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University of Southern CaliforniaBachelor of Science - BS | AI and Computer Vision Computer Science, Bachelor of Science - BS | AI and Computer Vision Computer Science at University of Minnesota
Github Skills (49)
expressjs9
performance-testing9
regression-testing9
snapshot-testing9
python8
regression8
machine-learning8
quality-assurance8
devtools8
pytorch8
testing7
data-science7
nodejs7
tensorflow7
deep-learning7
Programming languages (5)
Github contributions (5)
rmarrcode/trytouca
May 2022 - Aug 2022
Open-source continuous regression testing that you can self-host.
Contributions:20 pushes, 5 branches in 3 months
regressionself-hosthosttestingcontinuous
rmarrcode/GflowsForSimulation
Sep 2023 - Jul 2024
Contributions:53 pushes, 2 branches in 9 months
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