Manish specializes in inference optimization, regularly benchmarking techniques like speculative decoding and diffusion based LLMs on frameworks such as vLLM. Manish holds a master's degree in data science from Harvard University, with coursework in generative AI, deep reinforcement learning, and computer vision.