Stephanie Laflamme is a Staff Machine Learning Developer with 11 years of professional experience and over 8 years focused on delivering end-to-end data science and ML solutions. She excels at translating product and client needs into robust probabilistic models and production pipelines, and has a track record of reducing costs (including a 60% dataflow cost reduction) and shipping contextual bandit and causal-inference tooling. A committed mentor and educator, she has led cross-organizational data literacy programs and built internal experimentation platforms at Unity, and now applies that breadth at Trellis. Her background in psychology plus advanced computer science training gives her a rare ability to blend human-centered experimental design with rigorous ML engineering.
11 years of coding experience
8 years of employment as a software developer
Collegial Diploma Social Science, Collegial Diploma Social Science at Marianopolis College
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at McGill University
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Stephanie Laflamme - Staff Machine Learning Developer at Trellis