Summary
Ruzsa Balázs is a Deep Learning Infrastructure Engineer with 13 years of experience designing and operating complex, production-grade AI and cloud-native platforms from Budapest. He architected and led Cratus, a unified on-prem and AWS Kubernetes-based platform that automates cluster provisioning, bare-metal and VM image workflows, GitOps-driven project isolation, SSO, observability, and developer ergonomics via dev containers and SDKs. His background spans DevOps, build engineering and frontend work, giving him a rare full-stack perspective on developer tooling, CI/CD and infrastructure automation. Pragmatic and curious, he combines low-level systems work (bare-metal provisioning, Ironic, vSphere) with higher-level orchestration (Flux, Argo, Prometheus) and has a track record of turning messy operational needs into reproducible, testable platforms.
13 years of coding experience
25 years of employment as a software developer
Veres Péter Gimnázium
Teacher of Informatics, Teacher of Informatics at Veszprémi Egyetem
English, Hungarian