Tudor Iustin

I like neural networks because they feel less like software
and more like small synthetic organisms that learn from data.

Most of my work lives close to the model layer:
training loops, datasets, loss curves, evaluation, inference,
and the strange little behaviours that appear when models start to work.

small language models
transformer training
post training
agentic systems
retrieval augmented generation
model evaluation