Summary
Michel Trottier-mcdonald is a Lead Machine Learning Engineer with 11 years of experience building production ML systems across research-driven and product-focused environments. He has applied physics-grade rigor—from a PhD and particle-physics research detecting rare Higgs signatures—to large-scale data problems at Twitter, Opendoor, and Salesforce, improving valuation and ranking models and reducing outliers. Comfortable moving models from prototype to production, he’s shipped image-search and computer-vision pipelines, automated tooling for outlier analysis, and instrumentation for high-stakes monitoring systems. Based in San Francisco, Michel blends deep statistical modeling and ML engineering with hands-on deployment experience on AWS and GPU infrastructure. A detail-oriented problem solver, he has a track record of turning noisy, real-world signals into robust features and measurable product impact.
11 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Physics, 3.86, Bachelor's degree, Physics, 3.86 at Université du Québec à Trois-Rivières
Data Science, Data Science at Insight Data Science
Master's degree, Physics, 4.13/4.3, Master's degree, Physics, 4.13/4.3 at Simon Fraser University
French, English