Corentin Regal is an ML and software engineer with 11 years of experience building production-grade AI and cloud-native systems across Europe. He currently works at Hugging Face after designing ML serving and training platforms at OVHcloud, where he built a high-performance Rust client and integrated frameworks like PyTorch and Hugging Face into scalable Kubernetes deployments. Earlier roles in R&D involved large-scale NLP and graph construction (tens of millions of nodes) plus NLG and text-extraction pipelines, reflecting strong end-to-end expertise from data ingestion to model deployment. Comfortable across Rust, Go, Python, Java/Scala and infra tooling (Kubernetes, Terraform, Docker), he blends low-level performance engineering with applied NLP product thinking. Colocated in Villeurbanne, he brings a practical multilingual collaboration history (French/English) and a knack for turning research-grade algorithms into reliable services.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Informatique, Master's degree, Informatique at EPITECH
Advanced Computer Science, Advanced Computer Science at University of Kent
Repository for out-of-tree scheduler plugins based on scheduler framework.
Contributions:2 reviews, 1 push in 8 months
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Corentin Regal - ML & Software Engineer at Hugging Face