Rahul Mitra is a research engineer and AI leader with eight years building large-scale distributed systems and production ML at the intersection of infrastructure and language models. He co-founded a seed-funded startup that exited into Avi/VMware and later led GPU distributed training and reliability improvements for Meta’s largest recommendation and Reels models. At Meta Superintelligence Labs he architected multilingual post-training pipelines (SFT, RLHF, distillation, auto-graders) and helped scale Meta AI from pre-product to 1B+ monthly users by launching 40+ languages and linking modeling gains to real user engagement. Now at Google DeepMind, he continues to bridge cutting-edge LLM research and productionization, contributing to Llama releases and novel sub-linear scaling methods. Known for turning research into operational systems, he combines Stanford electrical engineering training with founder grit and deep experience in both datacenter-scale systems and applied AI.
8 years of coding experience
5 years of employment as a software developer
Corona del Sol High School
Intended M.S., Electrical Engineering, Intended M.S., Electrical Engineering at Stanford University
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