Dominik Fleischmann is a Senior Engineer specializing in ML infrastructure and MLOps with nine years of experience building and scaling cloud-native ML platforms across startups and established companies. Based in Madrid, he has held technical and managerial roles at Canonical (Kubernetes and MLOps/Kubeflow), led the Kubeflow 1.7 release team, and delivered production ML infrastructure at Nuclia and COMPREDICT before joining Hudl. He blends deep Kubernetes and MLOps expertise with release management and cross-functional leadership, routinely moving models from research to reliable production deployments. A practical engineer who values open collaboration, he maintains a public technical presence at domfleischmann.com and brings an uncommon mix of release-team stewardship and hands-on infrastructure coding to complex ML delivery challenges.
9 years of coding experience
8 years of employment as a software developer
Grado IngenierÃa informática, Grado IngenierÃa informática at Universidad Complutense de Madrid
Contributions:6 reviews, 3 PRs, 3 pushes in 1 year 1 month
kubernetesoperatorkfserving
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