Vadim Fomin

Independent AI safety researcher with an ML/NLP background since 2016, most recently the sole AI engineer at a US health-tech startup, building LLM systems in production. Happy to contribute to existing teams and projects, especially where research engineering meets interpretability or theory.

Currently exploring: reading formal structure out of transformer weights, i.e. treating a transformer as an automaton whose state is its KV cache and computing its minimal automaton from the weights alone. More broadly I'm drawn to deconfusion-style questions and to interpretability methods that make few assumptions about architecture or data.