On 15 Dec 2021, at 01:21, Ricardo Aravena <raravena80@...> wrote:

Hi all,

TAG-Runtime would like to nominate a candidate for the tech lead role in the TAG: 

Alexander Kanevskiy. 

• He's been a member of the TAG for a few months and is a regular contributor.
• He will continue to contribute to the community's growth and will bring a lot of knowledge and experience.

We are thrilled to continue working with Alexander in this capacity, and we appreciate his ongoing contributions to the community!

Bio:

Alexander Kanevskiy - Tech Lead Nominee

Cloud Software Architect - Intel

Alexander Kanevskiy is an architect in Intel's Cloud Native team. Alexander in the past 5 years worked on several subjects in Kubernetes community: SIG-Cluster-Lifecycle (kubeadm), SIG-Node (node-feature-discovery, device plugins APIs and support for Intel devices), Resource Management WG (Intel’s CRI-Resource-Manager, topology awareness improvements in kubelet, ...), cri-o/containerd (Intel RDT and Block I/O support).

Alexander is currently a co-lead of Container Orchestrated Devices WG of CNCF TAG-Runtime (https://github.com/cncf/tag-runtime/blob/master/wg/COD.md) and coordinating effort between teams from several companies to improve the ways on how hardware accelerators and other hardware resources can be consumed in Cloud Native ecosystem: runtime’s CDI and NRI interfaces.

Before working in projects of Cloud Native ecosystem, Alexander had over 20 years of experience in Intel, Nokia and other companies in areas of creating Linux distributions, Release Engineering, CI/CD, Development tools, Infrastructure and Networking.

Alexander has spoken many times at open source conferences, including KubeCon/CloudNativeCon, OSS + ELC and others (https://kad.github.io/presentation-recordings)

LinkedIn: https://www.linkedin.com/in/akanevskiy
GitHub: https://github.com/kad

To vote, please reply to this email. The CNCF, as always, welcomes non-binding community votes in addition to the required votes of TOC members.

Thanks,
Ricardo Aravena
Co-chair CNCF TAG Runtime