Summary
Bryan 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 Academy
Art History, Criticism and Conservation, Art History, Criticism and Conservation at University of Toronto
Master of Science - MS, Mathematical Statistics and Probability, Master of Science - MS, Mathematical Statistics and Probability at University of Ottawa
Sculpture and Installation, Sculpture and Installation at OCAD University
Biology and Psychology (Double Major), Biology and Psychology (Double Major) at York University
Chinese, English, French