Zefan Cai is a computational linguistics and NLP specialist with five years of hands-on experience and a strong academic trajectory from Beijing Jiaotong University to a master's at Peking University and ongoing Ph.D. studies in Computer Science at the University of Wisconsin–Madison. He focuses on making large language models accessible to communities, blending research-driven insights with practical tooling and outreach. Comfortable with remote and relocation arrangements, he prefers Shanghai for industry collaboration and internship roles. Zefan seeks NLP internship opportunities and brings a research mindset paired with an engineer’s pragmatism—often translating complex models into usable solutions. His background suggests strength in both theoretical foundations and community-oriented engineering, a combination that speeds adoption of LLM-based applications.
5 years of coding experience
Ph.D, Computer Science, Ph.D, Computer Science at University of Wisconsin-Madison
Bachelor's degree, Computer Programming, 3.6/4.0, Bachelor's degree, Computer Programming, 3.6/4.0 at Beijing Jiaotong University
Master's degree, computational linguistics, Master's degree, computational linguistics at Peking University
Unified KV Cache Compression Methods for Auto-Regressive Models
Contributions:16 PRs, 74 pushes, 3 branches in 7 months
kv-cachekv-cache-compressionllm
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