Michel Lemay
Staff Developer Machine Learning at Coveo
Lévis, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolMichel Lemay is a Staff Developer in Machine Learning with 12+ years building high-performance search, recommendation, and NLP systems at Coveo and earlier roles dating back to Corel and Copernic. He blends low-level C++ and concurrent systems expertise with modern ML tooling (currently implementing Learning-to-Rank with PyTorch) and large-scale data processing in Scala/Spark. Known for favoring simple, efficient, and clear solutions, he has deep experience in information retrieval, lock-free parallel algorithms, multilingual indexing, and production recommender engines. Michel prefers hands-on development over management to maximize impact, and his background includes specialized training in effective concurrency and applied AI. Based in Lévis, Quebec, he brings a rare combination of systems-level performance optimization and practical ML application design.
12 years of coding experience
24 years of employment as a software developer
Artificial Intelligence, UD730, Artificial Intelligence, UD730 at UdacityBachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Université de SherbrookeHerb Sutter Seminar - Effective Concurrency, Herb Sutter Seminar - Effective Concurrency at Construx
English, French
Stackoverflow
2,074reputation
229kreached
59answers
16questions
apache-spark
top-5%
Github Skills (194)
python10
genetic-algorithm10
r10
big-data10
scale10
sql10
data-processing10
spark10
sbt10
apache10
analytics10
java10
scala10
large-scale10
spray10
Programming languages (8)
Github contributions (5)
michellemay/url-lang-id
Aug 2015 - Sep 2015
Contributions:33 commits, 29 pushes, 1 branch in 19 days
michellemay/model-quickstarter
Nov 2014 - Mar 2015
Contributions:5 commits, 1 PR, 1 push in 3 months
dbpediadatabasedbpedia-spotlightspotlight
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