Olivier Wulveryck
Co-lead Et CTO OCTO Nord Référent Data
Lille, Hauts-de-France
Summary
🤩
Rockstar🎓
Top SchoolOlivier Wulveryck is a seasoned technology leader and CTO with 11+ years driving cloud, data and automation initiatives across retail and enterprise clients from Lille, France. As Co-lead and Référent Data at OCTO, he blends strategic frameworks like OODA Loop and Wardley Maps with hands-on delivery to align technology roadmaps to market needs. He began as a systems and cloud engineer, progressing through DevOps and automation roles where he built tooling (often in Go) and led large-scale infra migrations and industrialization efforts. An active open-source contributor, he improved the Go ML library Gorgonia—removing assembly dependencies, preventing races with sync.Map and adding operators like Leaky ReLU—showing a pragmatic focus on performance and reliability. Colleagues value him for translating complex technical constraints into actionable strategy and for contributing most OSS work outside billable hours. He combines deep operational experience with a continuous curiosity for new patterns in data, cloud and automation.
11 years of coding experience
14 years of employment as a software developer
Lycée pierre de coubertin calaisCPGE - Lycée de l'europeMaster IT, Master IT at Université du Littoral Côte d'Opale
English, Italian, French
Stackoverflow
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Github Skills (11)
tensorrt10
machine-learning10
tensor10
go10
tensorflow10
operation10
performance-optimization9
deep-learning9
automatic-differentiation9
linear-algebra8
golang7
Programming languages (13)
Github contributions (5)
gorgonia/gorgonia
May 2018 - Feb 2021
Gorgonia is a library that helps facilitate machine learning in Go.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 9 reviews, 289 commits in 2 years 9 months
Contributions summary:Olivier's contributions focused on enhancing the Gorgonia library, primarily by refactoring and optimizing existing code. They suppressed assembly dependencies, improved error messages for graph compilation, and used a sync.Map to prevent race conditions. Moreover, the user implemented a new broadcasting API and added a Leaky ReLU operator, expanding the library's capabilities.
golangcomputation-graphautomatic-differentiationdeep-learningdifferentiation
owulveryck/wardleynotes
Jul 2018 - Jan 2023
Asciidoc version of twitter threads from Simon Wardley
Contributions:37 commits, 18 PRs, 36 pushes in 4 years 6 months
twitter-botthreadssimontwitter-apiasciidoc
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