I build data systems and ML models — pipelines that move data reliably, classifiers that actually generalize, and lately, agentic workflows that do genuinely useful things. Currently at The Home Depot, working on the GCP infrastructure that keeps data flowing across hundreds of stores.
Background in computational math from Waterloo — which means I care about how algorithms work under the hood, not just whether the numbers go up. That research led to a publication in Neural Computation in 2026.
Projects
Agentic AI pipelines, NLP classifiers, and published ML research — built for real use.
Resume
4+ years shipping data and ML products across retail, fintech, and industrial domains.
Get in Touch
Open to interesting work and conversations about data, ML, and building things.