Charles Menguy
Staff Machine Learning Engineer (P55) at Adobe
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolCharles Menguy is a Staff Machine Learning Engineer based in New York with over a decade of experience designing and shipping large-scale ML and data systems at Adobe. He has led cross-functional teams to productize graph-based identity stitching, audience segmentation, and lookalike modeling features that generated multimillion-dollar ARR and broad customer adoption. Comfortable across the stack, Charles blends research (unsupervised learning, knowledge graphs, deep learning) with engineering practices in Spark, Kafka, Scala, Python and cloud platforms to turn prototypes into production services. He’s also influenced company-wide practices through contributions to an internal AI ethics framework and by mentoring engineers transitioning into ML. Notably, he repeatedly couples algorithmic innovation with pragmatic cost and go-to-market thinking, demonstrating both technical depth and product sensibility.
12 years of coding experience
15 years of employment as a software developer
Collège et Lycée Saint-CharlesMaster Computer Science Mathematics, Master Computer Science Mathematics at EPITA: Ecole d'Ingénieurs en InformatiqueMathematics Physics Chemistry Engineering Science, Mathematics Physics Chemistry Engineering Science at Lycée Chateaubriand
French, English, German
Stackoverflow
41,158reputation
2.8mreached
221answers
26questions
hive
top-1%
hadoop
top-1%
machine-learning
top-5%
hiveql
top-5%
apache
top-5%
amazon-s3
top-5%
Github Skills (116)
hadoop10
datasets10
hive10
nosql9
datetime9
python9
fact-checking9
pip9
amazon-web-services9
machine-learning9
amazon-s39
hiveql9
apache9
cassandra9
exceptions9
Programming languages (7)
Github contributions (5)
cmenguy/crime-analytics
Jan 2016 - May 2019
Analysis of crime data in Seattle and San Francisco
Contributions:14 commits, 1 PR, 12 pushes in 3 years 5 months
pythoncrimesan-franciscocrime-datasan
cmenguy/griddle
Nov 2013 - Jan 2014
Contributions:22 commits in 2 months
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