Google Cloud Platform Machine Learning Data Engineering
Jason Quek has been programming since he was 14. Fast forward through a computer science degree, working in electronic trading algorithms in Singapore and New York, and telecom least cost routing software in Stockholm, he is now the CTO for Avalon Solutions. Seeing the evolution of Google Cloud Platform, he loves building interesting new applications on it (going from zero to minimum viable product in under a week), and also advocating its ease of use and limitless possibilities. His biggest interest lies in the field of machine learning and how to use it to do the things that humans do not want to do, so that people are free to do more interesting things.
Kubeflow is a relatively new open source framework released by Google. It provides the ability to build reproducible Machine Learning pipelines with validation and A/B testing. We will show how to best organize your data engineering processes, teams around Kubeflow to maximize your use of data.