Add mahdi khashan as a member

[mahdikhashan]

Hello,

I got to know Kubeflow out of blue, a few months ago, I enjoyed every moment using it for my university project and I did a very custom helm chart for myself:

1. https://github.com/mahdikhashan/kubeflow-helm-chart
2. my university course project (https://github.com/mahdikhashan/argocd-mlops-pipeline-kubeflow-mlflow)

then i joined community meetings and others like AutoML, Pipeline and Model-Registry.

some of my PRs and in progress Issues:

katib:

merged:

1. [CI] ci job Test Build For Component katib-ui is flaky katib#2501
2. [SDK] improve PVC error message katib#2491
3. [DOCS] design image in HP Optimization Proposal is in wrong path katib#2471

open:

1. [EXAMPLE] implement a jupyter notebook example of LLM HP tuning katib#2480

some other reported issue:

1. [SDK] ValueError: <HUB_TOKEN> is not a valid HubStrategy, please select one of ['end', 'every_save', 'checkpoint', 'all_checkpoints'] katib#2495
2. [TEST] when running e2e tests on local, when the katib is not available - it should exit without continuting to run tests katib#2513
3. [SDK] objective_metric_name to be required katib#2481

pipeline:

• merged:

1. [frontend] Node version is not up to date in the docs pipelines#11566

• open:

1. [sdk] TypeError with list input/output when list type is included pipelines#11536
2. chore(tests): Create a test to check whether requirements.txt was generated with pip-compile pipelines#11495

trainer:

• open:

1. Leverage GitHub action arm64 runner trainer#2422

mpi-operator:

• open:

1. increase intel-oneapi-mpi-devel version to 2021.14 mpi-operator#681

website:

open:

1. katib: [USERGUIDE] LLM Hyperparameter Optimization API website#3952

merged:

1. [pipelines] typo in userguides datahandling parameters page website#3974

manifest:

merged:

1. fix cert-manager wrong path in standalone installation section manifests#2924
2. fix warnings after kustomize build in contrib manifests#2992

open:

1. fix warnings in model-registry manifests#2997

kserve:

merged:

1. update kustomization kserve/models-web-app#99

I also helped with reviewing some:

1. [GSoC] Add e2e test for tune api with LLM hyperparameter optimization katib#2420
2. [GSOC] optuna suggestion service logic update katib#2446
3. Support old-style TensorFlow events (tensorboard) katib#2467
4. [SDK] Support PyTorchJob as a Trial Worker katib#2512

I kindly request for this chance to become a part of this active community since so far it has been a great learning opportunity for me and I do want to contribute and have more and more impact on it - and be a part of its very blessing future.

thanks for considering my application

@andreyvelich @Electronic-Waste @helenxie-bit

[google-oss-prow]

Hi @mahdikhashan. Thanks for your PR.

I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work. Regular contributors should join the org to skip this step.

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[Electronic-Waste]

@mahdikhashan Well deserved! Your accomplishments are amazing!

Btw, can you please sign your cla? https://cla.developers.google.com/clas

/lgtm
/assign @andreyvelich @tenzen-y @helenxie-bit

[mahdikhashan]

@mahdikhashan Well deserved! Your accomplishments are amazing!

Btw, can you please sign your cla? https://cla.developers.google.com/clas

/lgtm /assign @andreyvelich @tenzen-y @helenxie-bit

thank you - I hope I can learn more from you @Electronic-Waste.

I checked the link and it was already signed. dono what is wrong 😑

[tenzen-y]

/ok-to-test
/lgtm

Absolutely!
Thank you for your contribution!

[franciscojavierarceo]

/approve

[google-oss-prow]

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: Electronic-Waste, franciscojavierarceo

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[helenxie-bit]

Thank you for all the contributions and Welcome!

[andreyvelich]

Thank you for all of your great contributions @mahdikhashan 🎉
/lgtm