Mimi Cheng
Research Engineer III at SEED (Electronic Arts)
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolMimi Cheng is a Research Engineer III with nine years of experience building production-ready ML systems and generative AI solutions across gaming, enterprise, and fraud-detection domains. Holding master's credentials from Mila and Université de Montréal, she blends rigorous machine learning research with hands-on engineering—shipping self-supervised and contrastive models that boosted fraud-detection precision and recommendation engagement in production. Her recent roles span Deloitte and Cerence to EA/SEED where she focuses on natural language and speech applications, productizing research into scalable services. Mimi is active in the AI community and open-source, and she brings a rare combination of academic rigor and practical impact, having moved multiple research prototypes into high-traffic systems.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Machine Learning, Master's degree, Machine Learning at Mila - Quebec Artificial Intelligence InstituteMaster's degree, Computer Science, Master's degree, Computer Science at Université de MontréalBachelor’s Degree, Statistics, Bachelor’s Degree, Statistics at Chulalongkorn University
English
Stackoverflow
1,172reputation
344kreached
12answers
0questions
machine-learning
top-5%
keras
top-5%
Github Skills (31)
machine-learning9
keras9
neural-network6
tensorflow6
python6
regex6
scala6
apache-spark6
pandas6
pytorch6
javascript6
nlp5
computer-vision5
self-supervised-learning5
artificial-intelligence4
Programming languages (4)
Github contributions (5)
MimiCheng/unet_segmentation
Nov 2018 - Apr 2020
Contributions:8 commits, 9 pushes, 1 branch in 1 year 5 months
MimiCheng/kaggle-protein-image-classification
Jul 2020 - Aug 2021
Contributions:20 commits, 10 pushes in 1 year 2 months
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