Sahil Jain is a deep learning algorithm engineer specializing in multimodal LLMs and diffusion models. His past engineering work has included scalable systems for multimodal diffusion and LLM training in JAX. He’s also researched novel techniques for diffusion model alignment and has built scalable frameworks for reinforcement learning from human feedback (RLHF) with LLMs and diffusion models.