> I am comfortable with autograd/computation graphs, PyTorch, "classic" neural nets and ones used for vision-type applications, as well as the basics of Transformer networks (I've trained a few smaller ones myself) and RNNs.

Maybe I am a bit off the track. But how do someone reach this state?