Location: Brazil at the moment, nomadic

Remote: Yes
Willing to relocate: Maybe
Technologies: PyTorch, Deep Learning, LLM, Diffusion models, NumPy, JAX (a bit), CUDA, C/C++ | SvelteKit, TypeScript, tailwind, drizzle, Pi, Agents | DevOps
CV: https://alexey.work/cv?ref=49522897
Email: [email protected]
Open to both short/long-term contract or a full-time position if the chemistry is there.
I fluctuate between:
- Deep learning / Neural networks - from architecture to inference. You might have used my ♥ Lovely Tensors library if you work with PyTorch (or JAX). Some CUDA, pytorch profiler, etc.
https://github.com/xl0/lovely-tensors https://github.com/xl0/lovely-jax https://github.com/xl0/lovely-numpy
https://github.com/xl0/tidygrad - autograd from scratch
https://github.com/xl0/latent-tools
https://github.com/xl0/nvml-tool - manage nvidia CPU fans/power
- Full-stack AI-adjacent applications - the usual LLM API tool-calling "agentinc" AI + full-stack web, ideally with SvelteKit (typescript, tailwind, shadcn, drizzle, etc).
https://chat.alexey.work
https://lovely-docs.github.io
https://pelican.alexey.work/gallery
I really got into Pi recently. Some cool stuff:
https://github.com/xl0/pi-lovely-codex https://github.com/xl0/pi-lovely-web https://github.com/xl0/pi-lovely-dev-tools
https://github.com/xl0/pi-lovely-ide (you should really check this one out if you ues pi collaboratively and read some of the code).
https://www.npmjs.com/package/grok-mermaid - 1.5M weekly downloads.
In my past lives: Linux kernel development, Molecular Biology Masters degree, Electronics engineering in Shenzhen: https://alexey.work/cv?ref=49522897&view=full