wateroutflow

As an experienced software engineer, I do both back-end and front-end. Have a Computer Science background/degree from graduating a T10 CS university, during which I did ML research.

Location: San Francisco || Bay Area || CA || US

Remote: Yes, can be remote or hybrid or onsite

Willing to relocate: Yes

Technologies: JavaScript, Python, Go, Bash, Zsh, RedwoodJS, TypeScript, NodeJS, React, React-Native, Vite, SQL, Mongo, Svelte, Django, Machine Learning, Computer Vision, Amazon MT, Pytorch

Hands-on experience in web browser DOM

Also open to: Mojo, Astro

Other: Object Detection, Segmentation, GPT

Résumé/CV: https://bit.ly/3PWRBMW

Email: Can be found at the top of the resume

What kind of sleep problems?

Their business model is on your server usage

As an experienced software engineer, I do both back-end and front-end. Have a Computer Science background/degree from graduating a T10 CS university, during which I did ML research.

Location: San Francisco || Bay Area || CA || US

Remote: Yes, can be remote or hybrid or onsite

Willing to relocate: Yes

Technologies: JavaScript, Python, Go, Bash, Zsh, RedwoodJS, TypeScript, NodeJS, React, React-Native, GraphQL, Svelte, Django, Machine Learning, Computer Vision, Amazon MT, GPT

Hands-on experience in web browser DOM

Also open to: Rust, Zig

Other: Object Detection, Segmentation

Résumé/CV: https://bit.ly/473gmOS

Email: Can be found at the top of the resume

As an experienced software engineer, I do both back-end and front-end. Have a Computer Science background/degree from graduating a T10 CS university, during which I did ML research.

Location: San Francisco || Bay Area || CA || US

Remote: Yes, can be remote or hybrid or onsite

Willing to relocate: Yes

Technologies: JavaScript, Python, Go, Bash, Zsh, RedwoodJS, TypeScript, NodeJS, React, React-Native, Svelte, Django, Machine Learning, Computer Vision, Amazon MT, Pytorch

Hands-on experience in web browser DOM

Also open to: Rust, Zig

Other: Object Detection, Segmentation, Neural Networks, Large Language Modeling, Generatively Pretrained Transformer, LLM, GPT, Training Dataset, Karpathy

Résumé/CV: https://bit.ly/3PWRBMW

Email: Can be found at the top of the resume

Yea, more of an issue of how this python library can cause misunderstandings, and ChatGPT failing in the same misunderstanding that would have been made by an engineer who lacks experience in that library.

This mistake would have happened even if they did not use ChatGPT.

> it was valuated over $1million, and secured pre-seed investment of $250,000. I currently own 25%, our investor owns 70% and the co-founder CTO owns 5%.

> During our first year, we paid our CTO $84,000 and we spent the rest of the money trying to develop hardware and software.

Why did your investor who gave 250,000 get 70% of the 1,000,000 valued invention?

What is stopping you or your investor from buying out the 5% when it is worth much less than the cash that you paid in the first year?

Where is this located in?

As an experienced software engineer, I do both back-end and front-end. Have a Computer Science background/degree from graduating a T10 CS university, during which I did ML research.

Location: San Francisco || Bay Area || CA || US

Remote: Yes, can be remote or hybrid or onsite

Willing to relocate: Yes

Technologies: JavaScript, Python, Go, Bash, Zsh, RedwoodJS, TypeScript, NodeJS, React, React-Native, Svelte, Django, Machine Learning, Computer Vision, Amazon MT

Hands-on experience in web browser DOM

Also open to: Rust, Zig

Other: Object Detection, Segmentation

Résumé/CV: https://bit.ly/473gmOS

Email: Can be found at the top of the resume