Baizhou Zhang
Member Of Technical Staff at sgl-project
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBaizhou Zhang is a software engineer focused on AI inference infrastructure with five years of experience building high-performance ML systems and tooling. As a core developer and maintainer of SGLang at RadixArk, he architects deterministic inference, attention kernels, large-scale execution plans, and CI/CD for modern model deployments. His internships at NVIDIA (CuDNN heuristics), Baidu (CINN), and contributions to ColossalAI give him practical fluency across GPU kernels, compilers, and distributed training. Combining research experience in model quantization and VAE music generation with a UC San Diego MS and a Peking University BS, he aims to be an AI-infra full-stack engineer who bridges low-level kernel work to production inference pipelines. An inquisitive "novice of building systems," he brings hands-on open-source stewardship to ambitious, performance-sensitive ML stacks.
5 years of coding experience
1 year of employment as a software developer
Visiting Student, Computer Science, Visiting Student, Computer Science at University of California, BerkeleyUniversity of California, San DiegoBachelor of Science - BS, Intelligence Science and Technology, Bachelor of Science - BS, Intelligence Science and Technology at Peking University
Github Skills (36)
pytorch10
distributed-training10
parallel10
python10
llama10
machine-learning10
hpc10
inference10
industrial10
reinforcement-learning10
large-scale10
distributed-computing10
llm10
data-parallelism10
deep-learning10
Programming languages (3)
Github contributions (5)
Fridge003/ColossalAI
Feb 2023 - Dec 2023
Making big AI models cheaper, easier, and more scalable
Contributions:682 pushes, 72 branches in 9 months
Fridge003/sglang
Jan 2025 - Apr 2025
SGLang is a fast serving framework for large language models and vision language models.
Contributions:313 pushes, 54 branches in 2 months
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