Summary
Devin Vitone is a senior machine learning engineer with 13 years of experience building cloud-native ML platforms and internal developer platforms that prioritize developer velocity, resiliency, and operational simplicity. At Koch he helped architect a secure, enterprise ChatGPT-style LLM system and a Kubernetes-based IDP using Crossplane, ArgoCD, and Terraform, bringing LLMOps into production with identity-aware access and token tracking. He has a strong full-stack systems background from embedded and emulation work at Intel to large-scale ML pipelines and APIs at Cox Automotive, enabling both batch and real-time data workflows. Comfortable operating at Staff+ level, Devin blends deep technical execution with cross-functional communication, mentoring, and governance work to align AI systems with enterprise guardrails. He’s particularly interested in GenAI, GitOps, and developer experience, and favors tools like Kubernetes, Terraform, Datadog, and Dask to turn experimental models into reliable, observable services.
13 years of coding experience
13 years of employment as a software developer
B.S. Electrical Engineering, B.S. Electrical Engineering at The University of Texas at Austin
Bachelors of Science Electrical Engineering, Bachelors of Science Electrical Engineering at The University of Texas
Italian