Speaker

Paul Ruiz

Paul Ruiz

Developer Advocate, Machine Learning and AI

Boulder, Colorado, United States

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Paul is a machine learning developer advocate at Google with a background in Android and IoT. Outside of work Paul is a part of the maker community where he 3D prints, does woodworking, builds electronics projects, and makes movie-quality props and costumes. Before getting into tech Paul worked as a zookeeper where he trained and cared for various animals, including giraffes, sea lions, and bears.

Area of Expertise

  • Information & Communications Technology

Topics

  • Android
  • IoT
  • Machine Learning
  • TensorFlow

On-Device Machine Learning for Android with MediaPipe

On-device machine learning has been steadily becoming more powerful and easy to use, allowing developers to add increasingly incredible features to their mobile apps. To help our developers build better apps in less time, Google has released MediaPipe, a cross-platform tool designed to make the process of adding custom and advanced ML features to your apps even easier, regardless of your experience level with machine learning. Come learn how you can add ML to your developer toolkit and prepare for the future of app development.

How to best authenticate with non-Google identities

Applications have traditionally called in-app WebViews for authenticating against third party identity providers. This approach leaves users open to security vulnerabilities and limits new, innovative features around authentication. We'll explain the right ways to authenticate your users and work we're doing to improve security and authentication, especially for enterprise users.

Is This a Cat? Machine Learning for Android

In this session you will get to the very heart of some of computer science's most important problems, including how we can answer: Is this a cat? How many cats are in this image? Does this sound like a cat? Is this paragraph about cats?

Along the way you will learn some high level machine learning concepts and how you can use TensorFlow Lite locally in your Android apps. By the end of this session you will know how to get started performing common machine learning tasks to improve your users' experiences and delight them with interesting functionality.

Paul Ruiz

Developer Advocate, Machine Learning and AI

Boulder, Colorado, United States

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