He's been an AI researcher for a while. I think his biggest contribution is understanding the vanishing gradient problem and creating the LSTM architecture. LSTMs are widely used in both industry and academia, and many neural net architectures that aren't LSTMs are heavily inspired by the LSTM idea.

One of his students, Alex Graves, is a researcher at DeepMind who is seen as one of the top people in RNNs.