Sujith Ravi is the founder and CEO of SliceX AI, a platform that allows you to train and deploy AI models across devices and use cases. Previously, he founded and headed multiple ML teams at Google AI and Amazon Alexa. It spanned conversational AI, graph & deep learning, and on-device machine learning technologies. These products are used by billions of people in Search, Ads, Assistant, Gmail, Photos, Android, Cloud, and YouTube. At Google, he invented ML technologies like Smart Reply for conversational AI; Web and Image Search; On-Device ML in Android and Assistant; Neural Structured Learning in TensorFlow; Learn2 Compress for Google Cloud; and TensorFlow Lite for edge devices.   

In this episode, we cover a range of topics including: 
- How to build ML products 
- How to deploy ML on edge devices 
- Key constraints of on-device ML 
- AI-powered content generation 

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Where to find Prateek Joshi: 

Newsletter: https://prateekjoshi.substack.com 
Website: http://prateekj.com 
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19