Summary
Qiang Zhang is a Staff AI Researcher with eight years of experience building and shipping large-scale generative models and distributed training systems across industry labs including Figure, xAI, and Adobe Firefly. He specializes in diffusion models and distillation—delivering 20–50× speedups in production multimodal pipelines—and has led video and streaming real-time generation projects such as CausVid and Adobe’s video foundational model. His expertise spans FSDP and tensor/sequence parallelism, high-performance data pipelines, and optimized attention mechanisms, enabling end-to-end research-to-production delivery. A Princeton-trained researcher with first-author oral and SIGGRAPH publications, he combines deep academic rigor with product impact, and currently applies that blend to world-modeling for humanoid robots. An atypical thread in his work is repeatedly turning research distillation techniques into practical, cross-modal production gains rather than just papers.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shanghai Jiao Tong University
Master's degree, Computer Science, Master's degree, Computer Science at Princeton University