Career Reset: Jay Shah - Scaling Up a Technical Podcast

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Jay is a PhD student at Arizona State University, researching on building Interpretable AI models for healthcare disorders like Alzheimer's disease and Post Traumatic Headache. In the past, he has interned at NTU-Singapore, HackerRank, Philips Research Labs and also worked with a Nobel Laureate (Frank Wilczek). Jay also hosts a podcast about Machine Learning for beginners which has now more than 50,000 downloads and 1,650+ subscribers and was also recently named an IEEE Impact Creator.

 

Social Media Links:

 

https://www.youtube.com/channel/UCdZ0GX-F3ULMKfxtyzSFbaw

https://www.linkedin.com/in/shahjay22/

https://twitter.com/jaygshah22

https://www.public.asu.edu/~jgshah1/

 

Video Timestamps:

 

0:00 - Guest Introduction

0:39 - Motivation for becoming an engineer

4:28 - Launching a YouTube about Machine Learning

9:02 - Figuring out how to scale a Podcast

11:10 - Attitude towards content creation

12:57 - Allowance for failure in Academia

15:16 - Using setbacks to collect data

16:59 - Medical imaging aspects and building Interpretable AI models for healthcare

20:13 - Democratization of AI

22:37 - Guest contact information

 

-Edited by Scott Michael Media

-Music Licensed via Soundstripe

Jay is a PhD student at Arizona State University, researching on building Interpretable AI models for healthcare disorders like Alzheimer's disease and Post Traumatic Headache. In the past, he has...

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