Manish Babel is Vice President, Technology, Applied AI and GenAI Engineering at State Street, where he takes production RAG, multi-agent, and document intelligence systems from problem discovery to deployment for financial services workflows. He 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.