Decoding a world where machines are learning you and why you need to learn the machines with Shane Austrie

On this episode of AI: Decodes the System, Shane Austrie, a Machine Learning (ML) Consultant who specializes in Consumer Technology, and AI decode how Shane started coding at thirteen and used his online clothing business to pay for college. They talk about how Shane began his career as a software engineer but quickly transitioned to machine learning. Shane is under 25 and has already worked for large companies and VC-backed startups like Facebook, Reddit, Yelp, and Threadloom. Shane and AI discuss how ML can be a blessing and a curse if not appropriately trained. He also breaks down the importance of diverse groups of people learning ML and how it can help decrease biases.

More about Shane

Shane Austrie is originally from the US Virgin Islands and started coding at the age of 13, creating mobile operating systems and releasing them online for thousands of users. He transitioned from traditional software engineering (such as operating systems, mobile apps, and websites) to machine learning. Shane attended multiple educational institutions, from Georgia Tech to Make School. Before graduating from undergrad, he worked at various companies as both a full-time machine learning engineer and as a consultant. Follow Shane at the links below.

Social Media

Shane Austrie: Twitter and LinkedIn
AI: Decodes the System: Website, Instagram, Twitter, Facebook, and TikTok

Find us on Clubhouse at @AiDecodes.

Help me become the #1 (number one) podcast and podcaster for technology, public policy, data, law, and culture. Subscribe, download, and share.