Building Foundational ML Platforms with Kubernetes and Kubeflow with Ali Rodell

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About this Episode

Today we’re joined by Ali Rodell, a senior director of machine learning engineering at Capital One. In our conversation with Ali, we explore his role as the head of model development platforms at Capital One, including how his 25+ years in software development have shaped his view on building platforms and the evolution of the platforms space over the last 10 years. We discuss the importance of a healthy open source tooling ecosystem, Capital One’s use of various open source capabilites like kubeflow and kubernetes to build out platforms, and some of the challenges that come along with modifying/customizing these tools to work for him and his teams. Finally, we explore the range of user personas that need to be accounted for when making decisions about tooling, supporting things like Jupyter notebooks and other low level tools, and how that can be potentially challenging in a highly regulated environment like the financial industry.

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Thanks to our sponsor Capital One

Capital One's AI and machine learning capabilities are central to how it builds products and services — and they're now at the forefront of what’s possible in banking. Whether helping consumers shop more safely online, giving customers new insights into their finances via award-winning mobile apps, or advancing research into cutting-edge applications of AI and machine learning, Capital One is using technology to make banking better.
To learn more about Capital One's Machine Learning and AI efforts and research, visit!
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