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I want to be a member of Kubeflow
I've mostly contributed to the KServe Org (BLOG, DOCS, LOGO, WEBSITE)
https://github.com/search?q=org%3Akserve+type%3Apr+involves%3Ajs-ts
But I would like contribute to Kubeflow org as much as I can
For that I've taken the initiative to delete outdated examples ,update testing , add example links for Kubeflow documentation examples in the examples repo
https://groups.google.com/g/kubeflow-discuss/c/oh-0RRvpCr4
https://docs.google.com/document/d/1Wdxt1xedAj7qF_Rjmxy1R0NRdfv7UWs-r2PItewxHpE
https://docs.google.com/document/d/1cHAdK1FoGEbuQ-Rl6adBDL5W2YpDiUbnMLIwmoXBoAU
kubeflow/examples#898 and have started to work on it
while asking @jinchihe about that , @jinchihe asked me if I would like to be maintainer/approver of examples repo
I replied yes as I'm very much interested in contributing and maintaining the repo , for that I made a PR kubeflow/examples#899
https://github.com/apps/google-oss-prow commented that
can you please approve this PR for that reason
PR's
kubeflow/examples#899
kubeflow/blog#107
ISSUES
kubeflow/examples#898
kubeflow/kubeflow#6140
kubeflow/website#2951
and also I want to add support for dark mode and i18n support in the central dashboard and make a settings menu for it
I discussed that with @kimwnasptd liked the idea and would like to further discuss it with me
kubeflow/kubeflow#6140
https://docs.google.com/document/d/1Wdxt1xedAj7qF_Rjmxy1R0NRdfv7UWs-r2PItewxHpE
Also I want to volunteer for the Kubeflow v1.5 release for KServe component and the models-web-app
https://docs.google.com/document/d/1KZUURwr9MnHXqHA08TFbfVbM8EAJSJjmaMhnvstvi-k
Kubeflow community has given me lot, I like the community very much , When I started looking for e2e recommender systems a while ago I couldn't find any open source projects for that
but then I found https://github.com/NVIDIA-Merlin/ which contained https://github.com/NVIDIA-Merlin/gcp-ml-ops which used Kubeflow in it , I wanted to know more about Kubeflow
In the beginning things were hard for me as I didn't find that many tutorials for it , https://www.coursera.org/learn/ml-pipelines-google-cloud was the best source as It had hands on labs thanks google for making the course it helped me a lot , I attended as many Kubeflow meetings I gained lot of new information from attending ,
whatever projects I'm working has Kubeflow at its center , like End to End recommender system with Kubeflow, NVIDIA-MERLIN, KServe and The SAME-PROJECT
thanks to @yuzisun,@zijianjoy,@animeshsingh,@theofpa,@aronchick they helped me lot , I would use Kubeflow in many projects in the future and It would help me in my career, it's the best open source project with the best community
Sponsors @yuzisun, @jinchihe
/assign @zijianjoy @james-jwu