A day in the life of a machine learning engineer at a small startup from Brisbane, Australia called Nutrify.

Nutrify uses computer vision to make learning about and tracking whole foods fun.

Links from video:
Download Nutrify on the App Store https://apple.co/4ahM7Wc
Nutrify website https://www.nutrify.app
What we learned from year of building LLMs part II — https://www.oreilly.com/radar/whatwe...
Apple Overton System for Machine Learning — https://machinelearning.apple.com/res...
Copying Tesla’s Data Engine for Food Images —    • Copying Tesla's data engine, but with...  
My ML recommended resources — https://www.mrdbourke.com/mlresources/
2020 Deep Learning PC Part List — https://au.pcpartpicker.com/list/8KXXjp
2024 Deep Learning PC Part List — https://au.pcpartpicker.com/list/xBvRdH

Other links:
Download Nutrify (my startup) https://nutrify.app
Learn AI/ML (beginnerfriendly course) https://dbourke.link/ZTMMLcourse
Learn TensorFlow https://dbourke.link/ZTMTFcourse
Learn PyTorch https://dbourke.link/ZTMPyTorch
Read my novel Charlie Walks https://www.charliewalks.com

Connect elsewhere:
Web https://dbourke.link/web
X/Twitter   / mrdbourke  
Twitch   / mrdbourke  
ArXiv channel (past streams) https://dbourke.link/archivechannel
Get email updates on my work https://dbourke.link/newsletter

Timestamps:
0:00 intro
1:08 morning session/breakfast
1:41 reading
2:15 data labelling
2:40 model training
4:19 bug fixing
4:34 lunchtime
6:09 afternoon session
6:51 what we've been working on (for the day)
8:36 ideas for the future
9:28 Nutrify compute cluster in a closet
11:00 Nvidia GPU speed comparison
12:00 Nutrify's data flywheel
13:14 end of day
14:34 bloopers