wgs.yaml

sigs: []
workinggroups:
- dir: wg-agents
  name: Agents
  mission_statement: >
    This working group (WG) focuses on the deployment, maintenance, and operationalization
    of autonomous agentic workflows within Kubeflow.  While the [wg-ml-experience](/wg-ml-experience/charter.md)
    governs direct-to-IDE developer integrations, this WG focuses on the autonomous
    agent experience.  Building the infrastructure and tooling that allows agents
    to independently execute operational tasks (e.g., "investigate this Spark app")
    and/or serve as integrated solutions as part on Kubeflow.

  charter_link: charter.md
  label: ""
  leadership:
    chairs:
    - github: abhijeet-dhumal
      name: Abhijeet Dhumal
      company: Red Hat
    - github: tarekabouzeid
      name: Tarek Abouzeid
      company: Telia
    - github: vara-bonthu
      name: Vara Bonthu
      company: AWS
  meetings:
  - description: ""
    day: TBD
    time: TBD
    tz: TBD
    frequency: TBD
    archive_url: TBD
    recordings_url: TBD
  contact:
    slack: kubeflow-wg-agents
    mailing_list: https://groups.google.com/forum/#!forum/kubeflow-discuss
    teams:
    - name: wg-agents
      description: Team of Agents Working Group Chairs
  subprojects:
  - name: Docs Agents
    owners:
    - https://raw.githubusercontent.com/kubeflow/docs-agent/main/OWNERS
  - name: Kubeflow MCP Server
    owners:
    - https://raw.githubusercontent.com/kubeflow/mcp-server/master/OWNERS
  - name: MCP Spark History server
    owners:
    - https://raw.githubusercontent.com/kubeflow/mcp-apache-spark-history-server/main/OWNERS
  - name: Semantic Operator
    contact:
      slack: kubeflow-semantic-operator
    owners:
    - https://raw.githubusercontent.com/kubeflow/semantic-operator/main/OWNERS
- dir: wg-data
  name: Data
  mission_statement: >
    The WG "Data" is focused on enhancing the support for data/metadata-related tasks
    within Kubeflow, with a specific focus on the Spark Operator and Kubeflow Hub.
    The group aims to simplify and improve data processing between various stages
    of ML lifecycle. For example, from Data Preparation to model training and fine-tuning.
    The group also aims to facilitate the ML model's metadata management, while ensuring
    seamless integration with other Kubeflow components. The goal of Spark on Kubernetes
    Operator is to simplify the capability of running Apache Spark on Kubernetes.
    It automates deployment and simplifies lifecycle management of Spark Jobs on Kubernetes.
    The goal of Kubeflow Hub is to provide registries and catalogs for AI assets for
    Kubeflow community users.

  charter_link: charter.md
  label: ""
  leadership:
    chairs:
    - github: ChenYi015
      name: Yi Chen
      company: Alibaba Cloud
    - github: andreyvelich
      name: Andrey Velichkevich
      company: Apple
    - github: franciscojavierarceo
      name: Francisco Javier Arceo
      company: Red Hat
    - github: jonburdo
      name: Jon Burdo
      company: Red Hat
    - github: nabuskey
      name: Manabu McCloskey
      company: AWS
    - github: rareddy
      name: Ramesh Reddy
      company: Red Hat
    - github: tarilabs
      name: Matteo Mortari
      company: Red Hat
    - github: vara-bonthu
      name: Vara Bonthu
      company: AWS
  meetings: []
  contact:
    mailing_list: https://groups.google.com/forum/#!forum/kubeflow-discuss
    teams:
    - name: wg-data-chairs
      description: Team of Data Working Group Chairs
  subprojects:
  - name: hub
    contact:
      slack: kubeflow-hub
      teams:
      - name: kubeflow-hub-team
        description: Kubeflow Hub maintainers
    owners:
    - https://raw.githubusercontent.com/kubeflow/hub/main/OWNERS
  - name: spark-operator
    contact:
      slack: kubeflow-spark-on-kubernetes
    owners:
    - https://raw.githubusercontent.com/kubeflow/spark-operator/refs/heads/master/OWNERS
    meetings:
    - description: Kubeflow Spark on Kubernetes Call
      day: Friday
      time: 9:00AM-10:00AM
      tz: PT (Pacific Time)
      frequency: biweekly - every other Friday of the month
      url: https://zoom-lfx.platform.linuxfoundation.org/meeting/91692004209?password=e48ce50b-b41d-459a-9f32-7313fa388380
      archive_url: https://bit.ly/3VGzP4n
      recordings_url: https://www.youtube.com/playlist?list=PLmzRWLV1CK_xXuM6gALgBG8vDZHFCNxce
- dir: wg-ml-experience
  name: ML Experience
  mission_statement: >
    The ML Experience Working Group focuses on developing, maintaining, and improving
    tools and extensions that support data science and machine learning practitioners
    workflows within Kubeflow. The group is dedicated to delivering a high-level,
    seamless experience integrated with the IDE of choice across multiple Kubeflow
    components.

  charter_link: charter.md
  label: ""
  leadership:
    chairs:
    - github: StefanoFioravanzo
      name: Stefano Fioravanzo
      company: Canonical
    - github: andreyvelich
      name: Andrey Velichkevich
      company: Apple
    - github: ederign
      name: Eder Ignatowicz
      company: Red Hat
  meetings:
  - description: Kubeflow SDK and ML Experience Call
    day: Wednesday
    time: 08:00AM
    tz: PT (Pacific Time)
    frequency: bi-weekly
    url: https://zoom-lfx.platform.linuxfoundation.org/meeting/99885200814?password=12a9c369-1b62-4025-9f10-421678026350
    archive_url: https://bit.ly/kf-ml-experience
    recordings_url: https://www.youtube.com/playlist?list=PLmzRWLV1CK_wSO2IMPnzChxESmaoXNfrY
  contact:
    slack: kubeflow-ml-experience
    mailing_list: https://groups.google.com/forum/#!forum/kubeflow-discuss
    teams:
    - name: wg-ml-experience-chairs
      description: Team of ML Experience Working Group Chairs
  subprojects:
  - name: Kale
    contact:
      teams:
      - name: kubeflow-kale-team
        description: Kubeflow Kale maintainers
    owners:
    - https://raw.githubusercontent.com/kubeflow/kale/master/OWNERS
  - name: Kubeflow SDK
    contact:
      teams:
      - name: kubeflow-sdk-team
        description: Kubeflow SDK maintainers
    owners:
    - https://raw.githubusercontent.com/kubeflow/sdk/master/OWNERS
- dir: wg-notebooks
  name: Notebooks
  mission_statement: >
    WG Notebooks is responsible for the user experience around Notebooks and their
    integrations with Kubeflow.

  charter_link: charter.md
  label: ""
  leadership:
    chairs:
    - github: andyatmiami
      name: Andy Stoneberg
      company: RedHat
    - github: thesuperzapper
      name: Mathew Wicks
      company: NVIDIA
  meetings:
  - description: Regular Notebooks Meeting (US & Europe friendly)
    day: Thursday
    time: 08:00AM
    tz: PT (Pacific Time)
    frequency: weekly
    url: https://zoom-lfx.platform.linuxfoundation.org/meeting/91703267161?password=34d61440-cca9-4249-9fc9-31df1d5db746
    archive_url: https://bit.ly/kf-notebooks-wg-notes
    recordings_url: https://youtube.com/playlist?list=PLmzRWLV1CK_wpsjmJYTo50xe2eYu1-HvP&si=HUJph7a8SXbYd668
  contact:
    slack: kubeflow-notebooks
    mailing_list: https://groups.google.com/forum/#!forum/kubeflow-discuss
    teams:
    - name: wg-notebooks-chairs
      description: Team of Notebooks Working Group Chairs
  subprojects:
  - name: Kubeflow Dashboard
    owners:
    - https://github.com/kubeflow/dashboard/blob/main/OWNERS
  - name: Kubeflow Notebooks
    owners:
    - https://github.com/kubeflow/notebooks/blob/main/OWNERS
- dir: wg-pipelines
  name: Pipelines
  mission_statement: >
    The goal of the Kubeflow Pipelines project is to build a Kubernetes optimized
    stack for creating and deploying ML Pipelines and enabling a rich ecosystem of
    pipelines components and tools. ML Pipelines project has the goal of enabling
    simple and reliable operationalization of autonomous ML workflows, advancing the
    standards of ML Engineering, and making them available to a large community of
    users across various Kubernetes deployment options.

  charter_link: charter.md
  label: ""
  leadership:
    chairs:
    - github: HumairAK
      name: Humair Khan
      company: Red Hat
    - github: chensun
      name: Chen Sun
      company: Google
    - github: droctothorpe
      name: Alexander Perlman
      company: Capital One
    - github: mprahl
      name: Matthew Prahl
      company: Red Hat
    - github: zazulam
      name: Michael Zazula
      company: Capital One
  meetings:
  - description: Kubeflow Pipelines Call
    day: Wednesday
    time: 1:00PM
    tz: ET (Eastern Time)
    frequency: bi-weekly
    url: https://zoom-lfx.platform.linuxfoundation.org/meeting/91355917913?password=a81a7846-1fcb-4ffc-9b83-6eb897da0c3a
    archive_url: http://bit.ly/kfp-meeting-notes
    recordings_url: https://www.youtube.com/playlist?list=PLmzRWLV1CK_zxNI1k5aF1cJreIymqAFBo
  contact:
    slack: kubeflow-pipelines
    mailing_list: https://groups.google.com/forum/#!forum/kubeflow-discuss
    teams:
    - name: wg-pipeline-chairs
      description: Team of Pipelines Working Group Chairs
  subprojects:
  - name: mlflow-integration
    owners:
    - https://raw.githubusercontent.com/kubeflow/mlflow-integration/refs/heads/main/OWNERS
  - name: pipelines
    owners:
    - https://raw.githubusercontent.com/kubeflow/pipelines/master/OWNERS
  - name: pipelines-components
    owners:
    - https://raw.githubusercontent.com/kubeflow/pipelines-components/refs/heads/main/OWNERS
- dir: wg-training
  name: Training
  mission_statement: >
    WG Training focuses on the development, deployment, and operation of distributed
    AI workloads on Kubernetes. It covers the entire model development lifecycle,
    including pre-training, post-training (such as LLM fine-tuning), hyperparameter
    optimization, reinforcement learning, and other techniques required to build,
    train, and run AI models at scale.

  charter_link: charter.md
  label: ""
  leadership:
    chairs:
    - github: andreyvelich
      name: Andrey Velichkevich
      company: Apple
    - github: astefanutti
      name: Antonin Stefanutti
      company: Red Hat
    - github: tenzen-y
      name: Yuki Iwai
      company: Preferred Networks, Inc.
    - github: terrytangyuan
      name: Yuan Tang
      company: Red Hat
  meetings:
  - description: Kubeflow Trainer and Katib Call
    day: Wednesday
    time: 08:00AM
    tz: PT (Pacific Time)
    frequency: bi-weekly
    url: https://zoom-lfx.platform.linuxfoundation.org/meeting/94838800520?password=07cd1676-1c31-4fb3-8536-732cf7dad502
    archive_url: https://bit.ly/kf-trainer-meeting
    recordings_url: https://www.youtube.com/playlist?list=PLmzRWLV1CK_xAiAY-3Vw94lrUs4xeNZ3j
  contact:
    slack: kubeflow-trainer
    mailing_list: https://groups.google.com/forum/#!forum/kubeflow-discuss
    teams:
    - name: wg-training-chairs
      description: Team of Training Working Group Chairs
  subprojects:
  - name: katib
    owners:
    - https://raw.githubusercontent.com/kubeflow/katib/master/OWNERS
  - name: mpi-operator
    owners:
    - https://raw.githubusercontent.com/kubeflow/mpi-operator/master/OWNERS
  - name: trainer
    contact:
      teams:
      - name: kubeflow-trainer-team
        description: Kubeflow Trainer maintainers
    owners:
    - https://raw.githubusercontent.com/kubeflow/trainer/master/OWNERS
usergroups: []
committees: []