Ying Sheng

Sheng co-created SGLang, an open-source engine that makes large language models faster and cheaper to serve by coordinating requests, memory and structured generation.^[1] She later co-founded RadixArk to turn that project into broader infrastructure for inference, training and reinforcement-learning post-training.