Gerald Shen is a deep learning algorithms engineer at NVIDIA, specializing in model alignment. He leads the development of the NeMo-Aligner toolkit, a scalable toolkit to align large language models. This toolkit has been used to align models at NVIDIA with algorithms such as reinforcement learning from human feedback (RLHF).