Maximeย Bonnesoeur
Data Scientist
Zurich, Zurich, Switzerland
Summary
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Top SchoolMaxime Bonnesoeur is a data scientist and machine learning engineer with a decade of experience building production ML systems across NLP, computer vision, and large-scale data pipelines. An EPFL graduate based in Zurich, he has led teams and shipped daily-operational products for app categorization, revenue estimation, and cross-marketplace matching using embeddings, graph methods, Spark, and CV. He combines hands-on model development with infrastructure and MLOpsโdesigning Airflow/Terraform orchestration, Snowflake/DBT analytics, and scalable training/inference services. At Similarweb/42matters he notably doubled category coverage and boosted classification accuracy by 25%, while earlier work delivered an 80% reduction in production stops via Industry 4.0 ML. Comfortable mentoring teams and translating stakeholder needs into product-grade solutions, he also brings a researcherโs curiosity demonstrated by a highโdistinction EPFL thesis on monocular 3D detection inspired by NLP backbones.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Mechatronics, Robotics, and Automation Engineering, Master's degree, Mechatronics, Robotics, and Automation Engineering at EPFL
French, English, German
Stackoverflow
76reputation
1kreached
7answers
0questions
Github Skills (14)
pytorch6
pandas6
deep-learning6
tensorflow6
bokeh6
python6
generative-adversarial-network6
optimization6
matplotlib6
numpy6
machine-learning5
azure-functions3
azure3
durable-functions3
Programming languages (3)
Github contributions (5)
gregunz/BobstChallenge
Nov 2017 - Nov 2017
Contributions:5 commits, 4 pushes in 4 days
maxime-delisle/projetIntroProgVisuelle
Apr 2016 - Jun 2016
Contributions:1 release, 2 PRs, 19 pushes in 2 months
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