Benoît Paris
Machine Learning Engineer at Lucky Cart
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolBenoît Paris is a Machine Learning Engineer and founder with 14 years of experience specializing in Explainable Machine Learning (XAI), building tools that turn black-box models into inspectable decision maps. He has led production interpretability work—implementing a tree interpreter for Spark/Scala now used to personalize sales communications for a major automaker—and founded Explicable.AI to make exploratory, topology-driven model inspection accessible. His background spans ML research and pragmatic engineering across Scala, Python, Spark, and cloud architectures, with hands-on experience in SHAP, RuleFit, recommendation and fraud systems. Notably, he contributed to the FICO-Google Explainable ML challenge and prototypes an intuitive 3D exploratory interface at explicable.ml, blending data visualization (THREE.js, d3) with model interpretability.
14 years of coding experience
14 years of employment as a software developer
MSc Engineering Computer science & e-commerce, MSc Engineering Computer science & e-commerce at Centrale Lille
English
Stackoverflow
3,176reputation
290kreached
55answers
64questions
apache-flink
top-5%
Github Skills (121)
python10
big-data10
sql10
apache10
java10
scala10
apache-flink10
chrome-extension9
caniuse9
deploying9
browser8
javascript8
hugo8
chrome8
webgl8
Programming languages (9)
Github contributions (5)
benoitparis/benoitparis.github.com
May 2012 - Jan 2023
Contributions:84 commits, 73 pushes, 1 comment in 10 years 10 months
benoitparis/mob
Oct 2019 - Dec 2020
MOB: (M)assively (O)nline emergent (B)ehavior
Contributions:40 pushes, 1 branch in 1 year 1 month
emergentmob
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