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What's the benefit of the container over installing as a tool with uv? It seems like extra work to get it up and running with a GPU, and if you're using a Mac, the container slows down your models.

Is this a real bug? I recently got a MacOS device for the first time, and I have been frustrated that I couldn't get my custom service to work. Just like you, the script writes to files when I run it myself, but does nothing as a service.

I've been debugging it on and off for a couple of months because I assumed I messed something up.


It worked fine on mojave, that is how I know it wasn’t my doing. The only variable change is the os. Another bug: sound turns on after I’ve muted it if any media starts playing. Defeating the entire purpose of muting audio. I guess macos knows best and I ought to play any and all audio out of those generous speakers at an appreciable volume no matter my surrounding. God forbid it were the other way and my video plays for a half second on mute before I notice.

Location: Central Alabama

Remote: Open to

Willing to relocate: Yes!

Technologies: Python, TensorFlow, PyTorch, Linux, Docker, C++ (embedded), ...

Résumé/CV: https://docs.google.com/document/d/1lqFEWmVIF-KmlKJEoq3wYoIa...

Email: edunbar02 $AT gmail.com

I am a 2024 EE graduate from Rice University, specializing in data science and systems. I'm interested in pursuing a career in AI/ML as an engineer and continuing to learn while I'm still newly out of school. I'm quick on my feet and enjoy tinkering. My skills outside of those that allow me to wrangle data and create models in Python are well suited to creating ML pipelines and infrastructure.

Reach out if anything in my resume interests you, and I will be happy to tell you more about it.


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