Riad Loukili is a DevOps specialist and AI/ML researcher with a decade of experience building cloud-native, MLOps and DevOps solutions across industry and research settings. He has delivered production-grade pipelines and observability stacks—deploying scalable ELK logging, Kubernetes/Rancher, and AWS-based infrastructures—for clients including a global glass manufacturer. Riad blends hands-on software engineering with academic rigor from a Master’s in AI/ML and an engineering degree in industrial AI and data science, enabling him to move models from prototype to robust operations. Currently at Arcane Technologies after a research role at LMP3, he excels at solving complex integration challenges where model performance, deployment reliability, and operational monitoring intersect. Colleagues note his curiosity and knack for turning experimental AI ideas into maintainable systems.
10 years of coding experience
1 year of employment as a software developer
Master of Engineering in AI and ML Research Artificial Intelligence, Master of Engineering in AI and ML Research Artificial Intelligence at Université du Québec à Rimouski
Engineer's degree Industrial Engineering: Artificial Intelligence and Data Science option, Engineer's degree Industrial Engineering: Artificial Intelligence and Data Science option at École Nationale Supérieure d'Arts et Métiers (ENSAM-Méknes - المدرسة الوطنية العليا للفنون و المهن
Contributions:1 release, 20 commits, 18 pushes in 1 day
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