8000 TAG Workloads Foundation Tech Lead Nomination · Issue #1660 · cncf/toc · GitHub
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mrbobbytables opened this issue May 5, 2025 · 11 comments
Open

TAG Workloads Foundation Tech Lead Nomination #1660

mrbobbytables opened this issue May 5, 2025 · 11 comments
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@mrbobbytables
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Following the TAG Reboot Timeline, we are opening nominations for (3) Tech Leads for TAG Workloads Foundation. If this interests you, please review the information on TAG governance and responsibilities in the TAG Governance doc and the draft charter for the TAG. Then, if you're still interested - please post your bio below and confirm your interest in running for Tech Lead.

Election timeline:
May 5: Nominations open for new TAG Technical Leads
May 19: TOC Vote opens for initial TAG Technical Leads (3 per TAG)
June 2: TOC Vote closes for initial TAG Technical Leads
June 2: Initial round of newly seated TAG Technical Leads announced
July 7: Nominations close for new TAG Technical Leads
July 7: TOC and TAG Chairs Vote opens for new TAG Technical Leads (TAG Chairs only vote for their TAG TLs)
July 28: TOC and TAG Chairs Vote closes
July 28: Newly seated Technical Leads announced

NOTE: Timeline is subject to change; check the TAG Reboot Timeline issue for the most up-to-date information.

Once the initial leads are seated, we'll work on refining the charters and really get things going. :)

Links:
TAG Restructuring Presentation - Feb 4, 2025
TAG Reboot Timeline Issue
TAG Governance Doc
Draft Charter
@shabeebk
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shabeebk commented May 8, 2025 •
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Hey,

I want to nominate myself as a TAG Workloads Foundation Tech Lead. Read more below.

Shabeeb Khalid is a Cloud Infrastructure Engineer at IQM Quantum Computers, where he develops scalable and secure infrastructure to support quantum computing platforms, working with HPC and other high-performing applications. With a decade-long experience in the IT industry, most of the time in DevOps, automation and cloud engineering, he has held key roles at Kuvera, Amagi, and HCL Technologies—driving improvements in automation, reliability, and deployment efficiency.

His technical skill set spans AWS, Azure, Kubernetes, Terraform, Docker, Jenkins, and Python, with strong expertise in CI/CD and infrastructure-as-code. Shabeeb holds a Diploma in Mechatronics and is pursuing a B.Sc. in Programming and Data Science from IIT Madras as part-time, blending a robust understanding of hardware with modern software practices.

He is also an active contributor to the open-source community, sharing tools and scripts that enhance DevOps and quantum tech workflows.

@angellk
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angellk commented May 8, 2025

Hi @shabeebk - are you also nominating yourself for TAG Workloads Foundation tech lead? If so, please edit your comment!

@shabeebk
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shabeebk commented May 8, 2025

Thanks @angellk. Corrected the comment. I chose two interesting TAGs to give nominations. 😊

@terrytangyuan
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terrytangyuan commented May 8, 2025 •
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Hi CNCF community,

I’d like to self-nominate to be a co-chair (preferred given my recent co-chairing experience) or technical lead of TAG Workloads Foundation. I’d like to take this opportunity to introduce myself and share relevant work from the groups and projects I’ve been leading. Thank you for taking the time to consider my candidacy—I truly appreciate your support.

Bio: Yuan is a Senior Principal Software Engineer at Red Hat AI. Previously, he has led AI infrastructure and platform teams at various companies. He holds leadership positions in open source projects, including Argo, Kubeflow, KServe, and Kubernetes. He's also a maintainer and author of many popular open source projects. In addition, Yuan authored three technical books and published numerous impactful papers. He's a regular conference speaker, technical advisor, leader, and mentor at various organizations.

I believe the future of foundational cloud native workloads is driven and inspired by requirements, use cases, and demands from AI workloads. I’ve witnessed a lot of excitement, innovations, and initiatives from the groups and projects I’ve been leading, including the following that are relevant to TAG Workloads Foundation:

  1. K8s WG Serving (serving, orchestrator, deployment, dynamic scaling): hardware-accelerated AI/ML inference and focus on solving novel challenges of compute-intensive online inference, including standardized benchmarking tool and gateway extension for inference.
  2. KServe (serving, serverless, orchestrator): standardized and production-ready inference platform on Kubernetes for both predictive and generative AI workloads.
  3. Kubeflow Trainer (batch, scheduler): distributed model training and fine-tuning on Kubernetes.
  4. Argo (orchestrator, batch, scheduler, CI/CD): workflow-engine and declarative continuous delivery for Kubernetes.

I’ve also been involved in a variety of CNCF events and activities, including:

  1. KubeCon and co-located events program chair:
    1. Program Chair of Cloud Native + Kubernetes AI Day (Europe, North America, China), 2024 - 2025
    2. Program Committee Member of KubeCon AI/ML Track (Europe, North America, China, Japan, India), 2024 - 2025
    3. Program Chair of Data on Kubernetes Day at KubeCon North America, 2023
  2. Regular speaker at KubeCon and co-located events (list of public talks)
  3. Mentoring CNCF projects: Kubeflow (2024 and 2020) and Argo (2022)

Super excited about this opportunity and I hope my experience can bring value to this group!

Best,
Yuan

LinkedIn | Bluesky | X

@jnummelin
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jnummelin commented May 12, 2025 •
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Dear CNCF Community,

I am writing to express my interest and self-nominate for the Tech Lead role within the CNCF TAG Workloads Foundation Group.

I have been building cloud-native plumbing since 2014, starting with an internal bespoke container orchestration platform. Since then, I have continuously worked on container orchestration topics, including building an OSS pre-Kubernetes orchestration solution called Kontena before pivoting to Kubernetes and various Kubernetes distributions, most notably steering k0s from its inception to becoming a CNCF Sandbox project. Currently, I am a Senior Principal Engineer at Mirantis, focusing on the k0s distribution and its surrounding components. Ten years in the cloud-native space provides a strong understanding of the technology, its architecture, community collaboration, and the rapid evolution of foundational layers. This experience offers a practical, hands-on perspective encompassing both technical aspects and community dynamics.

As a frequent speaker at community events, I am passionate about advancing cloud-native technologies with the community and believe my expertise can significantly contribute to the group's goals. I’m no stranger to participating in working groups; in my previous life in the telco world, I participated in different working groups.

I am committed to fostering collaboration, driving technical initiatives, and supporting the growth of the TAG Workloads Foundation community. I am confident in my ability to lead (technical) discussions, facilitate collaboration, and ensure alignment with the TAG's and CNCF's overall vision.

Thank you for considering my nomination. Happy to provide any other info that would be deemed helpful.

Sincerely,
Jussi

@mauromorales
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Dear committee, I’d like to self-nominate for the role of Tech Lead for the TAG Workloads Foundation. My name is Mauro Morales, a Guatemalan software developer currently living and working in Belgium, and I bring nearly two decades of experience in backend systems development, infrastructure engineering, and open-source communities.

I’m currently a Staff Engineer at Spectro Cloud and a maintainer of Kairos (CNCF sandbox project), a Linux-based OS for running Kubernetes at the edge. Earlier in my career, I worked at CodeShip CI/CD on their Rails backend and LXD container runtime and at SUSE as part of the BOSH team, where I helped build atomic, repeatable deployment pipelines for Cloud Foundry. These experiences grounded me in OS internals, container orchestration, and lifecycle automation, all key areas within the TAG’s scope.

In the CNCF ecosystem, I am involved in the Special Purpose Operating Systems Working Group (I was elected co-chair, but the reboot paused things — so here I am trying my luck again 🍀), where I focused on defining best practices for modern OS design in cloud native contexts. I also host the Cloud Native Community Group in Belgium, creating space for practitioners to collaborate and learn. These roles reflect my commitment not only to technical excellence but also to building bridges and fostering diverse, international communities.

I believe in the mission of the TAG Workloads Foundation: to reduce fragmentation and define common standards that help adopters succeed. As Tech Lead, I’d bring both hands-on technical experience and a collaborative spirit to help guide meaningful, inclusive progress across the ecosystem.

Thanks,

Mauro

@RainbowMango
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RainbowMango commented May 18, 2025 •
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I am honored to nominate myself as ​​Co-Chair​​ or ​​Technical Lead​​ of the CNCF TAG Workloads Foundation.

Hongcai Ren​​ is a Senior Open-Source Engineer at Huawei Cloud. He has been deeply involved in cloud-native ecosystems since 2019 and has held leadership roles in critical CNCF projects, driving innovation in multi-cluster orchestration, workload management, and cross-project integration.

​​Key Contributions and Roles:​​

​​Kubernetes Ecosystem​​:
As an ​​approver​​ for Kubernetes SIG Instrumentation and SIG Multicluster, he maintains and evolves foundational components for observability and distributed workload management.

  • Served as approver for work-api, cluster-inventory-api, and custom-metrics-apiserver, advancing multi-cluster workload portability and metrics-driven automation.​​
  • Launched kubernetes-sigs/cloud-provider-huaweicloud and kubernetes/autoscaler/huaweicloud to enable hybrid cloud integration.

​ 8000 Karmada Project Leadership​​:

  • Maintainer​​ since 2021, helping Karmada become the most popular multi-cluster orchestration platform, which now has been widely adopted for both traditional and AI workloads.
  • Collaborated deeply with CNCF projects including Istio, Argo, Flux, Gatekeeper, and Kyverno to extend their capabilities to multi-cluster environments through technical integrations in service governance, GitOps workflows, and cross-cluster policy enforcement.

​​Technical Expertise​​:
Authored Go Expert Programming, a widely recognized technical book that distills best practices for cloud-native development.
​​
CNCF Community Engagement​​:
​​- KubeCon Program Committee Track Chair/Member​​, focus on selecting innovative and interesting topics for the events.
​​- CNCF Ambassador​​: Promoted cloud-native adoption through workshops, KCD events, and mentorship programs.
​​- Regular speaker at KubeCon since 2019

I am excited to bring my experience in ​​running workloads at scale​​, particularly in multi-cluster environments, to the TAG Workloads Foundation. ​​My work aligns closely with TAG’s technical focus areas—containers, schedulers, CI/CD, scaling, and multi-cluster orchestration. By leveraging my technical experience and community-focused mindset, I aim to support more projects and users, foster cross-project/cross-tag collaboration, and deliver value to the TAG and the broader CNCF ecosystem.

@kad
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kad commented May 18, 2025

Good day.

I would like to nominate myself as a technical lead for the CNCF TAG Workloads Foundation.

I was serving as technical lead to TAG-Runtime in the past, and I would like to continue helping community and CNCF ecosystem to improve in the areas of more efficient usage of the hardware and performance optimizations for workloads.

Bio:
Alexander is currently employed by Intel as Principal Engineer, Cloud Software, focusing on various aspects in Kubernetes: Resource Management, power and performance optimizations for workloads, container runtimes, Device Plugins and DRA for enabling hardware accelerators in the CNCF ecosystem. Alexander has over 25+ years of experience in areas of Linux distributions, SCM, Networking, Infrastructure, Release Engineering, Cloud Orchestration, Continuous Integration & Delivery. Alexander is an active member of Kubernetes SIG-Node, tech lead of CNCF TAG-Runtimes, co-chair of Container Orchestrated Device WG.

Linkedin: https://www.linkedin.com/in/akanevskiy/

@selvik
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selvik commented May 19, 2025 •
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Hello All,

I would love to be considered for the Tech Lead role for the TAG Workloads Foundation. This is my bio.

Selvi Kadirvel is currently VP of Engineering at a Kubernetes AI Infrastructure startup, Elotl. She is a hands-on Individual Contributor, Tech lead and Staff engineer in the Kubernetes space for 10+ years. She received her MS and PhD degrees in Computer Science and Engineering from University of Florida, USA (PhD thesis). Her distributed systems experience spans two decades in the fields of High Performance Computing, MapReduce and machine-learning for improved systems performance through anomaly detection and performance prediction.

Technical leadership and Development expertise

  • Selvi’s work and research experience has spanned startups (Elotl, ContainerX), large enterprises (VMware, Cisco) and University Research Centers (University of Florida HPC Center, University of Florida Advanced Computing and Information Systems Lab). LinkedIn Profile: Selvi
  • Selvi is proficient in Golang and Python. Her most recent development contributions include:
    1. An open-source Generative AI stack for Question-Answering systems on Kubernetes: Gen-AI Infra Stack
    2. Hybrid cloud orchestration for multi-cluster Kubernetes environments: Multi-cluster Kubernetes Orchestrator

Research and Subject-Matter Leadership expertise:

With my hands-on expertise in Kubernetes, diverse experience in distributed systems, and customer-focussed leadership roles, I will be able to bring in the necessary technical knowledge and cross-functional coordination needed for this role.

Thank you for considering my nomination!

Regards,
Selvi

@rajaskakodkar
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Hello everyone,

I’d like to express my interest in serving as a Tech Lead or Co-Chair for the TAG Workload Foundation.

About Me

I’m currently a Staff Software Engineer at Broadcom, where I focus on the low level runtime functions of Kubernetes on Virtual Machines and enabling AI workloads on Kubernetes. I’ve previously been a maintainer for the Kubernetes subproject Kube-Proxy. Since KubeCon Paris 2024, I’ve been co-chairing Cloud Native AI Day, a co-located event at KubeCon, and have continued this role through the most recent edition in London. I’ve also served on the KubeCon Program Committee since 2023 and acted as a track chair during this time.
Until the recent TAG reboot, I served as a Tech Lead for TAG Runtime. In that role, I worked closely with co-chairs and TOC members to evaluate new projects, offer technical guidance and contribute to the TAG’s strategic direction. Some of the initiatives I’ve led or contributed to include:

Why Me?

Having previously served as a TAG Tech Lead, I am deeply familiar with the structure, responsibilities and processes across TAGs and the TOC. This gives me a strong foundation and a unique advantage in adapting quickly to the novel, rebooted TAG model. My prior experience, combined with an ongoing commitment to community collaboration, positions me well to contribute meaningfully from day one. I remain deeply invested in the growth and evolution of the cloud native ecosystem and would be honored to continue that journey in this new leadership role.
If given the opportunity to serve in this leadership capacity within TAG Workload Foundation, I aim to:

  • Collaborate with the End User TAB to drive more engagement with end user entities
  • Strengthen collaboration between the TAG, TOC, and other TAGs
  • Identify and address technical gaps across projects under the TAG’s purview
  • Establish relevant subprojects and initiatives aligned with TOC priorities

@mrbobbytables
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Thanks everyone for putting your nomination forward :)
With the nomination period now closed, we're going to temporarily lock the issues just so it's clear that the nomination period is over. We'll reopen soon with updates. 👍

@cncf cncf locked and limited conversation to collaborators May 20, 2025
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