Weston Bassler is a Staff Machine Learning Engineer with over a decade of experience building scalable MLOps, AI, and platform solutions that bridge research and production. He has a strong track record reducing deployment time and infrastructure costs by designing Kubernetes-based data science platforms and integrating tools like MLflow, Argo, and Label Studio. Weston has led cross-functional teams to fine-tune open-source LLMs and deploy multimodal pipelines that improved processing speed and decision accuracy, while also defining Kubernetes application standards that enabled autoscaling and faster development. His background in SRE and DevOps underpins a focus on high availability and observability for mission-critical systems across AWS, GCP, and Azure. An educator as well as an engineer, he teaches MLflow and Kubernetes concepts to a global audience and authors technical blogs explaining real-world MLOps patterns. Based in Columbus, Ohio, he pairs hands-on platform engineering with practical cost-optimization strategies that make ML workflows production-ready.
10 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BS) Information Technology, Bachelor of Science (BS) Information Technology at Franklin University
Computer Engineering, Computer Engineering at Columbus State Community College
Contributions:177 commits, 14 PRs, 146 pushes in 3 months
ci-cdkubernetescontinuous-integrationgitopsargo
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Weston Bassler - Staff Machine Learning Engineer at DataCamp