Machine Learning Engineer at Glodon Company Limited
Montreal, Quebec, United States
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Summary
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Senior
🎓
Top School
Samuel Magnan is a machine learning engineer with 12 years of experience specializing in generative design, layout optimization, and computer vision for architecture and building placement. Based in Montreal, he has applied ML to real-world product problems at Glodon and built production HR intelligence and semantic matching systems at 365Talents, scaling from the first hire to supporting multiple key accounts. His background blends rigorous applied research—time-series re-identification and dynamic time warping work at LIRIS—with practical software engineering for industrial and energy contexts. Comfortable across the data stack and prototype-to-production pipelines, he couples an engineer’s discipline with a product mindset that surfaces tangible ROI from spatial and language models. An often-overlooked strength is his cross-cultural technical training, including studies at Shanghai Jiao Tong, which informs his pragmatic approach to globalized ML solutions.
12 years of coding experience
4 years of employment as a software developer
Integrated Preparatory Cycle: applied Sciences, Integrated Preparatory Cycle: applied Sciences at Institut national des Sciences appliquées de Lyon
High School, Scientific, High School, Scientific at Lycée Jules Froment (07200)
SEIEE (Computer Science), SEIEE (Computer Science) at Shanghai Jiao Tong University
Contributions:4 PRs, 31 pushes, 1 branch in 4 years 2 months
socketgamesocket-ionodejs-mongodbmmorpg-engine
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