Xiang Shi ^{BSc MSc}

Xiang (Kevin) is VP at KIG.LAND. He leads KIGLAND Machine Learning (KigML) Group to apply ML in anime field. His research interests mainly focus on Scalable Systems, Empirical Software Engineering and Machine Learning (incl. NLP/CV & Deep Learning). He obtained M.Sc. Advanced Computing with Distinction from Imperial College London in Nov 2025, and B.Sc. Computer Science (1st Honour, GPA 4.25/4.25) from the University of Birmingham in Jul 2024.

Useful Links: CV GitHub LinkedIn

Experiences

He and his team KIGLAND went through MiraclePlus (formerly Y Combinator China) S25 accelerator program and successfully secured seed funding from MiraclePlus and AI industry veteran Dr. Qi Lu. He is also an alumnus of MiraclePlus S23.

More antiquated, Xiang worked at TreeHollow (北京趣哈喽科技有限公司) as a developer/architect. They created Slyva (抒发森林) and its successor CominApp. He also was a lab demonstrator (UGTA?) at the University of Birmingham.

Projects

He enjoys creating interesting projects. Some useful projects are listed below:

• Piccadily KV: an event-driven high-performance key-value database.
• FastGit: faster GitHub for the world.
• promptc: a standard for LLM/prompt engineering
• More on GitHub & KevinZonda Research