Master's degrees, including AI (University of Ottawa)


AI governance practitioner and builder based in Toronto. I help organizations adopt AI they can explain, audit and defend. My work covers AI policy, AI risk assessment and vendor reviews against NIST AI RMF, OSFI E-23, PIPEDA, Quebec Law 25 and Canada's Directive on Automated Decision-Making. I also build machine learning systems, so my governance work starts from how models actually behave. Lead Consultant at BRUKD Consultancy and Part-Time Professor of AI governance, machine learning and big data analytics at Ontario colleges. Author of Evidence-Based AI: The Discipline Behind Reliable AI and two SSRN papers. Working toward the IAPP AIGP certification.
Master's degrees, including AI (University of Ottawa)
Research papers on SSRN
Ontario colleges where I have taught
SQL
AI governance and risk assessment
Python
Machine learning: scikit-learn, XGBoost, PyTorch, TensorFlow
SAS, SAS Viya and SPSS
LLM pipelines: LangChain, Hugging Face, OpenAI and Anthropic APIs
NIST AI RMF, OSFI E-23, PIPEDA, Quebec Law 25
Power BI and Tableau
Azure AI, AWS, GCP, Databricks, Spark
Entity resolution (Splink), MLflow, Git, Docker