Fatescript
I currently work at Moonshot AI. My interests center on large language models, training and inference systems, and the infrastructure that turns models into reliable products.
Before Moonshot, I worked at Megvii on computer vision libraries and deep learning infrastructure. I was one of the contributors to YOLOX, an anchor-free object detector, and helped redesign the library before its public release. I also maintained cvpods, and worked on MegEngine-based classification and detection frameworks such as basecls and basedet.
This blog is mostly where I write down engineering details, model-system observations, and long-term reflections. I care about explanations grounded in practice: code paths, numerical behavior, distributed training details, and the small decisions that decide whether a system actually works.
Please feel free to reach out if you want to discuss deep learning systems, LLM infrastructure, computer vision engineering, or anything you find interesting here.

