Career timeline

Recognized for business impact on Gemini Enterprise.

Google 20% project

Turning state-of-the-art research into practical, high-impact solutions.

• —Agent inference
• —Large-scale ML platform migration
• —Google’s 20% project

Tech lead on large-scale enterprise AI engagements, shipping agents to production.

• —Tech lead on $XXXM AI projects
• —Agents in production

Bell Canada - Artificial Intelligence

Performed post-training for Bell Canada's in-house custom models used in call center operations.

Data Science Network for the Federal Public Service

An overview of the methodology behind popular digital image segmentation methods for medical imaging.

Master’s thesis, University of Ottawa

MSc thesis in Mathematics.

Led a team of AI & ML engineers and researchers delivering AI research, development and consultancy for federal clients.

• —Led a team of AI & ML Engineers and Researchers focused on research, development and consultancy services for federal clients
• —Directed the overhaul of how cutting-edge AI research and solutions were designed and built for domestic and foreign government agencies
• —Maintained team cohesion and performance through company-wide layoffs

Data Science Division, Statistics Canada

For outstanding commitment to innovative ideas or initiatives that advance the Agency’s priorities in access, relevance, quality or organizational efficiency.

Data Science Network for the Federal Public Service

Technical review accompanying the CCMED topic modelling project.

Senior engineer on production ML systems, responsible ML and NLP at Statistics Canada.

Economic Statistics Methods Division, Statistics Canada

Awarded for outstanding performance.

Core contributor to Statistics Canada’s framework for responsible ML: development guidelines plus independent ethical and technical peer reviews, backed by explainability research.

Led topic modelling of the Canadian Coroner and Medical Examiner Database (CCMED) to detect emerging death circumstances. Sole developer and designer of the methodology, pipeline and dashboard.

Built ML pipelines and products, including the dynamic topic modelling system for CCMED.

Computer vision applied to medical neuroimaging, completed while working full-time. A+ in every course.

• —Thesis: A Generative Approach to Simultaneous Diffeomorphic Registration and Lesion Segmentation of Neuroimages
• —Supervisor: Tanya Schmah

Hierarchical Bayesian model treating registration and stroke-lesion segmentation as latent variables, with an efficient deep learning inference algorithm.

Federal Committee on Statistical Methodology (FCSM)

Data collection optimization across 65 federal business surveys.

Statistical methods for economic surveys: recommender systems and data collection optimization at scale.

• —Recommender systems
• —Data collection optimization (at scale)

Prioritized collection of Canadian businesses by optimizing estimate quality. Used by 65 federal business surveys across manufacturing, trade, services and capital expenditures.

Mathematics, with minors in Biology, Chemistry & Computer Science.

• —Minors in Biology, Chemistry & Computer Science