Maxime Delisle
Data Scientist
Switzerland
Summary
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SeniorMaxime 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 MLOps—designing 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 researcher’s curiosity demonstrated by a high‑distinction EPFL thesis on monocular 3D detection inspired by NLP backbones.
10 years of coding experience
Github Skills (4)
machine-learning4
azure-functions2
python2
durable-functions2
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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