Roy Yuan is a research scientist with 12 years of experience focused on bridging cutting-edge AI research and production systems, currently optimizing LLM inference and reinforcement/post-training pipelines at Together AI. He holds BS and MS degrees in Computer Science from Stanford and has driven robotics research at Stanford Vision & Learning Lab, producing an ICRA Best Paper finalist on unsupervised affordance distillation. Roy has hands-on product experience from a PM internship at DoorDash and has evaluated AI/ML infrastructure and agent applications for Fellows Fund, giving him a pragmatic lens on deployability and product fit. Based in San Jose, he blends deep technical rigor with cross-disciplinary insight—he also studied Japanese at Doshisha University, reflecting a curiosity for language and culture that complements his work on language models.
12 years of coding experience
1 year of employment as a software developer
Japanese Studies, Japanese Studies at Doshisha University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Contributions:48 pushes, 1 branch, 9 tags in 2 years 2 months
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