Ep.24: How to be an A.I. Engineer, and what it's like working for startup companies | Interview with Joseph Daniel Dantes

About the guest: Joseph Daniel Dantes is currently working for Blaize, an Artificial Intelligence (AI) technology company, where he is mostly in charge of developing software tools that are used in communicating with their AI accelerator hardware. Before this, he also worked for another AI technology company called Wave Computing. He is a Computer Engineering graduate from UP Diliman, and he was a member of the Ubiquitous Computing Laboratory in their institute.

In this episode we talked about:

• What inspired him to pursue a career in AI engineering
• His experience during their bootcamp training at Wave Computing
• What he loves about working for a startup company
• His role at Blaize, and some of the projects he has worked on so far
• What edge computing is, and what it was like before edge computing
• The day-to-day activities of an AI engineer, and the typical timeline of AI projects
• What are the challenging and rewarding aspects of working as an AI engineer
• What is AI, and how it's different from other related topics (machine learning, data science, etc)
• How neural networks work, a simple example
• The latest in AI technology, and why the development of AI is deemed to be the fourth industrial revolution
• What makes a successful AI engineer

Follow JD Dantes on social media for more AI-related blog posts:
Writings on https://jddantes.substack.com
Medium https://medium.com/@jddantes
Twitter https://twitter.com/jddantes

If you wish to learn more about neural networks, here are some useful lecture notes:  
https://cs231n.github.io/convolutional-networks/  
https://cs231n.github.io/understanding-cnn/