But I have a question, Are these new podlings based on your previous project[1]?
or other?
Does it have specific projects?


[1] https://github.com/feast-dev/feast

On Wed, Mar 22, 2023 at 10:11 AM Calvin Kirs <k...@apache.org> wrote:
>
> Hi Hao,
>
> I am interested in this project, if you need a champion or mentor, I can help.
>
> On Wed, Mar 22, 2023 at 3:24 AM Hao Xu <sduxu...@gmail.com> wrote:
> >
> > Dear ASF Community,
> >
> > I’m writing to propose a new project at Apache Software Foundation. A 
> > little bit about myself, I’m currently a senior software engineer in the 
> > Affirm ML Platform team (possibly switching soon), and have around 5 years 
> > experience in a couple startups, all working in the Data and Machine 
> > Learning infrastructure.
> > Over the past few years I’ve seen a general pattern arising in many 
> > companies to build the ML infrastructure, especially on the feature store 
> > <https://www.featurestore.org/>. And I have built similar products across 
> > all my previous and current companies, including in-house solutions, using 
> > the 3rd-party vendor: https://www.tecton.ai/ <https://www.tecton.ai/>, open 
> > source project: https://github.com/feast-dev/feast 
> > <https://github.com/feast-dev/feast> and 
> > https://github.com/feathr-ai/feathr <https://github.com/feathr-ai/feathr>.
> > But still those products are not able to well resolve the most important 
> > part of a feature store: transformation, or we can call it featurization.
> > So I’m proposing a new podling project - Featurizer (name can change) to 
> > build an open source feature platform - aims to address the challenges of 
> > feature engineering in machine learning by developing a software framework 
> > that can automatically extract relevant features from raw data.It will 
> > provide a wide range of featurization algorithms that can be customized and 
> > combined to fit the specific needs of different applications. And by 
> > leveraging three types of features: request based real time feature, stream 
> > feature, and batch feature, the framework is supposed to run on different 
> > processor engines such as apache spark, Flink, Beam, or microservices etc.
> > I’m still new to podling here, I did few contributions before but it’s the 
> > first time proposing a project. So I’m looking for suggestions, feedbacks, 
> > champions and mentors to help on starting the project.
> >
> > Thanks
> >
>
>
> --
> Best wishes!
> CalvinKirs



-- 
Best wishes!
CalvinKirs

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