This week's guest is indefatigable Matthew Russell. An Air Force veteran and author of four data science books, Matthew is now Founder/CEO of Strongest AI, a leading tech platform for fitness.
In this episode, Matthew covers:
• The tech stack he uses to make it possible to provide data from fitness competitions to millions of spectators all over the world in real-time.
• How he rapidly tests machine learning models for deployment into portable devices like the iPhone and the Apple Watch.
• Multi-objective ML functions and why they’re so widely useful in real-world applications.
• The three critical traits he looks for in anyone he hires.
• The values instilled in him by pursuing a military education.
• The key skills he wishes he’d learned earlier in his career.
A bit more on Matthew... he's:
• Founder and CEO of Strongest, the leading technology platform for global fitness events, which is growing into an application that uses ML models to make you stronger, faster, and fitter than ever before.
• Author of four books published by O'Reilly Media, including the classic "Mining the Social Web", which is now in its third edition.
• Prior to founding Strongest, served as CTO at several firms.
• Holds a BS in Computer Science from the US Air Force Academy as well as an MS in Computer Science and Machine Learning from the US Air Force Institute of Technology.
Parts of today’s episode, particularly in the first half, do get fairly technical as we dig into the open-source software stack that enables the scalable deployment of data-intensive real-time applications. That said, much of the episode will appeal to anyone who’s excited about physical fitness or commercializing A.I.
Shout out to Austin Ogilvie for introducing me to Matthew 😀
The SuperDataScience show's available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
