Jean-michel Daignan
Senior Data Scientist Machine Learning Engineer
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolJean-michel Daignan is a Senior Data Scientist and Machine Learning Engineer with nine years of experience applying ML from IoT energy systems to live-service gaming at Ubisoft. He has built and operated production recommender systems and simulation tools that improved engagement and monetization across titles like Rainbow Six Siege, Assassin’s Creed and NFL Prime Fantasy, and helped scale an internal ML platform used company-wide. Comfortable across the full ML lifecycle, he combines R&D curiosity with production rigor—ETL, pipelines, A/B testing, monitoring and developer enablement. Having lived abroad since 2016, he brings a multicultural perspective and a knack for translating research prototypes into reliable game-facing features. Notably, his background in smart-building and large-scale device data laid the foundation for robust, production-ready ML in latency-sensitive gaming environments.
9 years of coding experience
10 years of employment as a software developer
Undergraduate diploma Physics, Undergraduate diploma Physics at Université Blaise Pascal (Clermont-II) - Clermont-FerrandMachine Learning Engineer Nanodegree Intelligence artificielle, Machine Learning Engineer Nanodegree Intelligence artificielle at UdacityMaster of Engineering (M.Eng.) Engineering Physics, Master of Engineering (M.Eng.) Engineering Physics at Polytech Clermont
French, English, Spanish
Github Skills (76)
lifecycle10
mlflow9
ai9
apache-spark9
python9
model-management9
machine-learning9
incremental-learning9
r-package9
dvc9
nvidia9
hnswlib9
ml8
r8
cpp8
Programming languages (5)
Github contributions (5)
jeanmidevacc/jeanmidevacc.github.io
Jul 2017 - Jun 2020
Personal website
Contributions:142 pushes, 1 branch in 2 years 11 months
reactnextjs
jeanmidevacc/messenger-bot-python-flask-zappa-amazon
Jun 2017 - Sep 2017
An example to deploy a facebook messenger bot (embedded in a flask application , deploy on AWS by zappa) in a AWS lambda
Contributions:10 commits, 9 pushes, 1 branch in 2 months
facebook-messenger-botpythonmessenger-botflaskserverless
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