Michel Trottier-mcdonald

Lead Machine Learning Engineer at Salesforce

San Francisco, California, United States
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Summary

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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.
code11 years of coding experience
job10 years of employment as a software developer
bookBachelor's degree, Physics, 3.86, Bachelor's degree, Physics, 3.86 at Université du Québec à Trois-Rivières
bookData Science, Data Science at Insight Data Science
bookMaster's degree, Physics, 4.13/4.3, Master's degree, Physics, 4.13/4.3 at Simon Fraser University
languagesFrench, English
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Stackoverflow

Stats
91reputation
4kreached
2answers
3questions
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Github Skills (51)

dsl10
strongly-typed10
feature-engineering10
mleap10
structured-data10
automated-machine-learning10
einstein10
salesforce10
spark9
spark-ml9
scala9
automl9
python8
game-development8
ai8

Programming languages (3)

C++ScalaPython

Github contributions (5)

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emitc2h/sivega

Dec 2014 - Feb 2016

Contributions:18 commits, 5 pushes, 1 branch in 1 year 2 months
emitc2h/project-futbo

Aug 2024 - Mar 2025

Contributions:61 pushes, 1 branch in 6 months
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Michel Trottier-mcdonald - Lead Machine Learning Engineer at Salesforce