Bryan Paget
Data Platform Engineering At Data Analytics Services
Ottawa, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolBryan Paget is a CKAD-certified platform engineer with 11 years of experience building secure, sovereign data and ML platforms for the Canadian federal government. As Team Lead at Statistics Canada he architected a Kubernetes-based platform that embeds legacy SAS alongside Kubeflow and JupyterLab to enable safe, phased migration to Python/R while meeting stringent ATO requirements. He has a strong applied data-science background—MSc in Mathematical Statistics—having automated CPI workflows and led AI-driven inspection classification at Health Canada. Bryan combines hands-on MLOps and infra design with practical change management, notably using LLMs to accelerate code translation from SAS to open source. His work bridges research and production: from improving MCMC algorithms in bioinformatics to deploying audit-ready pipelines across government. Outside engineering, his varied training in art, biology and traditional medicine hints at a multidisciplinary approach to problem solving and user-centered platform design.
11 years of coding experience
6 years of employment as a software developer
Diploma of Shiatsu Therapy and TCM, Japanese Massage and Traditional Chinese Medicine, Diploma of Shiatsu Therapy and TCM, Japanese Massage and Traditional Chinese Medicine at Acupuncture and Integrative Medicine AcademyArt History, Criticism and Conservation, Art History, Criticism and Conservation at University of TorontoMaster of Science - MS, Mathematical Statistics and Probability, Master of Science - MS, Mathematical Statistics and Probability at University of OttawaSculpture and Installation, Sculpture and Installation at OCAD UniversityBiology and Psychology (Double Major), Biology and Psychology (Double Major) at York University
Chinese, English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (126)
kubeflow10
protonvpn10
javascript10
linux10
webdav10
evernote10
electron10
jupyter10
onedrive10
android10
dropbox10
nodejs10
obsidian10
react-native10
nextcloud10
Programming languages (24)
Github contributions (5)
bryanpaget/introduction-to-generative-adversarial-networks
Apr 2019 - Aug 2025
This thesis provides a comprehensive survey of the mathematical theory underlying Generative Adversarial Networks (GANs), exploring the algorithm through three complementary theoretical frameworks: game theory, information theory, and optimal transport theory.
Contributions:2 releases, 4 PRs, 53 pushes in 6 years 4 months
bryanpaget/graph-poetry-tools
Jul 2015 - Jan 2018
Contributions:108 pushes, 3 branches in 2 years 6 months
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