Antonio Cardace is a Principal Machine Learning Engineer and seasoned systems engineer with 11 years of experience building high-performance, low-level software for embedded and cloud-native environments. Currently at Red Hat, he architects and implements a Kubernetes-native distributed LLM inference framework while bringing deep expertise from leading OpenShift Virtualization and KubeVirt compute teams. His background spans bare-metal STM32 firmware, Linux kernel and userspace development, and network protocol and performance optimization using C, C++, Go and Rust. A long-time open-source contributor and approver on kubevirt/kubevirt, he’s modernized build pipelines and kept critical virtualization infrastructure aligned with evolving Kubernetes APIs. Antonio combines hands-on firmware craftsmanship (bootloaders, DFU, RT railway systems) with cloud-scale orchestration, making him adept at bridging constrained embedded systems and distributed ML inference. Based in Emilia-Romagna, Italy, he pairs formal computer science training from the University of Bologna with a pragmatic focus on secure, high-throughput systems.
11 years of coding experience
9 years of employment as a software developer
Informatica, Informatica at Loughborough University
Laurea Magistrale LM in scienze e tecnologie informatiche, Informatica, Laurea Magistrale LM in scienze e tecnologie informatiche, Informatica at Alma Mater Studiorum – Università di Bologna
Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
Role in this project:
Back-end & DevOps Engineer
Contributions:756 reviews, 131 commits, 134 PRs in 1 year 11 months
Contributions summary:Antonio's commits primarily focus on the core infrastructure and operational aspects of the Kubevirt project. They modernized the build process by migrating dependencies from DockerHub to quay.io, and updated the build image to a newer version. The user made several critical changes to the project's codebase in order to support newer versions of Kubernetes' API and maintain security best practices.
Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
Contributions:564 pushes, 148 branches in 4 years 3 months
vdiapivmsmachinesruntime
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