Meetup #72

Building ML Blocks with Kubeflow Orchestration with Feature Store

In this talk, Aniruddha is presenting the Kubeflow with feature store end-to-end training and serving the model, build the Lego blocks for online and offline data ingestion with spark and Kafka alongside Redis, monitor the metrics in Grafana and Prometheus, and the whole architecture building in GCP.


How to set up Kubeflow in GCP and building Kubeflow pipeline. Alongside how to use feast feature store and for training and serving.

In this episode

Aniruddha Choudhury

Aniruddha Choudhury

Senior Datascientist, Publicis Sapient

Aniruddha is a Senior data scientist with experience over 5 years across various industry experiences for AI/ML journey. He is experienced in building the MLOps domain across various multi-cloud solutions for various AI synergies. Aniruddha is a passionate AI researcher to transform the data into a machine learning end-to-end production journey to ease the life of Business users.



Demetrios Brinkmann

Demetrios Brinkmann


Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.