I'm know some things.
I know modern AI inside-and-out. From deriving neural network gradients by hand, all the way to pretraining and deployment of custom large transformer models on specialized hardware, in the cloud.
I also happen to know some chemistry and have taken interest in metabolomics. So far, only one paper under the belt - I'm sure this will improve. I'm also really interested in computational quantum chemistry. I don't know why - simulating a slice of the world just makes me feel good.
- Python scientific libraries
- PyTorch (NOT tensorflow)
- CUDA in all flavors
- FastAPI and Svelte
- C/C++ only when I have to.
- Linux, Git, Docker
- Cloud: google and aws
- Personal Website: https://tornikeo.github.io/
- Linkedin: https://www.linkedin.com/in/tornike-onoprishvili