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/....what-we-learned-from
Apple Overton System for Machine Learning — https://machinelearning.apple.com/research/overton
Copying Tesla’s Data Engine for Food Images — https://youtu.be/02b-1spzLzc?si=p7HBZ3dLaq6NGC57
My ML recommended resources — https://www.mrdbourke.com/ml-resources/
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 (beginner-friendly 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 - https://www.twitter.com/mrdbourke
Twitch - https://www.twitch.tv/mrdbourke
ArXiv channel (past streams) - https://dbourke.link/archive-channel
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