Luke Simmons is an MLOps engineer based in Gothenburg with over a decade of hands-on experience evolving IT operations into agile, infrastructure-as-code-driven platforms for data science. He specializes in building scalable, testable AI/ML infrastructure using Kubernetes, Helm, Istio, Ansible and RunAI, and drives reproducible workflows with GitLab CI, DVC Studio and containerization. At Västra Götalandsregionen he has moved teams from traditional ops to platform thinking—standardizing deployments with Kubespray, Tanzu and Ansible while enabling data scientists to iterate securely and transparently. A pragmatic automationist and former Scrum Master, he pairs deep Unix/DBA roots and configuration-management expertise with continuous delivery sensibilities. His open-source contributions to kubespray reveal a focus on pipeline efficiency and Docker/Ansible optimizations that accelerate production Kubernetes deployments.
10 years of coding experience
14 years of employment as a software developer
Minor, Business, Minor, Business at Emporia State University
Contributions:8 reviews, 3 commits, 11 PRs in 5 days
Contributions summary:Luke's contributions primarily focused on enhancing the build and deployment pipeline for the Kubernetes cluster. They introduced Dockerfile improvements, including caching mechanisms to speed up builds, and incorporated Ansible collection support. Furthermore, the user addressed dependency management, and removed redundant installations within the deployment process to optimize the overall pipeline efficiency.
Puppet module for configuring, installing and starting Tivoli Storage Manager's client
Contributions:2 PRs, 41 pushes, 3 branches in 3 years
puppetinstallingpuppet-moduletivolistorage
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Luke Simmons - MLOPs Engineer at Västra Götalandsregionen