Full Stack AI developer · Toronto
I build AI applications at Intact’s Data Lab, from their interfaces to the services behind them.
Mar 2025 – Present
I spent a year leading frontend development for production AI applications. Since then, I’ve expanded my scope to include backend development and automated testing. I’m currently building an end-to-end test suite to improve confidence in production deployments.
May 2022 – Aug 2023
Built Python automation estimated to save internal account-management teams more than 500 hours of manual work per week.
Built a broad foundation in mathematics, science, and engineering in years 1 and 2, followed by a specialization in Machine Intelligence in years 3 and 4.
The Machine Intelligence curriculum covered machine learning, artificial intelligence, probabilistic reasoning, matrix algebra, and optimization.
Professional experience
Led React and TypeScript development for a year, extending shared application code for additional teams.
Migrated a FastAPI/PostgreSQL backend from synchronous to asynchronous I/O across database access, downstream-service clients, and API endpoints.
Building an end-to-end test suite that provisions real AWS resources and invokes services directly. Also write Vitest and pytest tests, maintain GitLab CI/CD pipelines, and contribute to infrastructure through Terraform.
Undergraduate thesis · Sep 2023 - May 2024
Built a pipeline to generate 15,000 Leela Chess Zero evaluations and compare nine compact models. The convolutional models fit the training data more closely but did not beat the linear baseline on held-out positions.
Engineering capstone · Sep 2023 - Dec 2023
Worked on CT-image preprocessing and results analysis in a five-person capstone with Trillium Health Partners. Evaluation on 78,545 public test images showed strong overall detection alongside substantial weaknesses in individual hemorrhage subtypes.
