Shane Sims is a software developer and M.Sc. graduate in Computer Science from UBC with 11 years of professional experience bridging machine learning, data science, and production engineering. He has delivered ML-driven features and bias-detection tooling at startups and enterprise-grade software at Morgan Stanley, pairing strong research credentials (95% average in his MSc) with hands-on system development. His background spans end-to-end ML projects—from dataset curation and CNN-based medical sensing prototypes to model auditing in production—highlighting both experimental rigor and operational awareness. A former infantryman with the Canadian Armed Forces, he brings disciplined problem-solving and collaboration to high-stakes engineering work. Currently based in South Jordan, Utah, he is seeking roles as a Machine Learning Engineer, Research Engineer, Data Scientist, or Software Engineer where he can combine deep learning, privacy/security interests, and production software skills.
11 years of coding experience
4 years of employment as a software developer
Master of Science - M.Sc., Computer Science, 4.33/4.33 GPA (95% average), Master of Science - M.Sc., Computer Science, 4.33/4.33 GPA (95% average) at The University of British Columbia
Bachelor of Arts (BA), Political Science, Bachelor of Arts (BA), Political Science at University of Calgary
Contributions:65 pushes, 9 branches in 1 year 11 months
pythonsecuritydetectcompatibility
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