Just a little over a week left to finish your submission for the Android Developer Challenge, due December 2! Technology is enabling us to create a whole new era of helpful innovation by helping people get things done more quickly and surfacing patterns that would be difficult to detect using traditional methods. Ultimately, this helpful innovation is enabling us to live better, more productive, and safer lives.
Earlier this week, we highlighted the type of helpful innovation ideas powered by machine learning which are the sort of examples we’re looking for, to help inspire you. Today, we wanted to share the names of the panel of experts we’ve assembled to help bring your projects to life as part of the Android Developer Challenge. These experts will be making the final decision on the 10 finalists of the Android Developer Challenge, and if you’re selected as one of those finalists, we plan to have you meet them when we bring you to Google HQ for a bootcamp next year:
Dave Burke is Vice President of Engineering at Google where he leads engineering for the Android platform. Android is the largest mobile platform and ecosystem in the world, with over 2 billion active devices spanning smartphones, tablets, wearables, auto, TV, and IOT. Dave joined Google UK in 2007, becoming an engineering site lead and later moving to California in 2011. Prior to Google, Dave co-founded and was CTO of an internet/telecoms voice startup and helped define related Web and Internet standards.
Stephanie Cuthbertson is Senior Director of Developer PM, DevRel and UX for Android. She previously worked on Google’s Search & Ads businesses, as well as a range of developer tools used by Google employees internally. Prior to Google, she was at AWS where she led the product management team for Storage, including Amazon S3. Before AWS, she spent 10 years working on Visual Studio and developer tools.
Brahim Elbouchikhi is a Director of Product Management on the Android team. On Android, Brahim is responsible for developer and consumer facing ML and Camera products including CameraX and ML Kit. Prior to Android, Brahim led Daydream’s software team. Brahim was also a founding PM of the Google Play store where he led monetization, search, and discovery.
Yossi Matias is Vice President, Engineering, at Google. He leads efforts in Search (Autocomplete, Live Results, Trends), Conversational AI (Google Duplex, Call Screen, Live Caption, Live Relay, Recorder, Pronunciation), and other Research initiatives. He is the lead of Google’s Crisis Response and co-lead of Google’s AI for Social Good. Yossi is the founding Head of Google's R&D Center in Israel, and the founding executive lead of Google for Startup Campus Tel Aviv and of Launchpad. In addition to his experience as an executive and entrepreneur, Yossi has a rich record of scientific research, published extensively, and has dozens of patents on his name. Yossi is a recipient of the Godel Prize and is an ACM Fellow.
Sarah Sirajuddin is an engineering director working on TensorFlow at Google. She leads the teams working on on-device machine learning, TensorFlow Extended, and efforts around training models for the best accuracy and performance with Google’s cutting-edge infrastructure, including TensorFlow and tensor processing units (TPUs).
If you’ve got a great idea that can help users get things done, we want to hear! We’ll pick 10 concepts and provide expertise and guidance to those developers to help in their plans to bring their ideas to fruition, in part from this amazing set of experts we’ve assembled. And once the app is ready, we’ll help showcase it in front of the billions of users on Google Play, through a collection and more. You can read more about all of the prizes here.
There’s still time to submit your idea before the December 2 deadline. Submitting your idea is as simple as creating a repository on GitHub, telling us what you’d build and how we can help (we’ve included all of the materials here), and then officially submitting your repository here. Ideas can be in a concept phase to something that’s already complete; we can’t wait to hear what you come up with, and to work with you on bringing helpful innovation powered by machine learning to more and more users!
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