Kazuki Fujii
Kazuki Fujii is an incoming PhD student at the Institute of Science Tokyo (formerly Tokyo Tech). He is a core contributor to the Swallow Project, leading the development of open Japanese-English bilingual LLMs.His research sits at the intersection of HPC and Machine Learning, with a focus on large-scale distributed training and low-precision optimization (FP8/NVFP4) using Megatron-LM and TransformerEngine. He also researches data-centric approaches to improve reasoning capabilities in LLMs. His recent work on rewriting pre-training data for Math and Code was accepted to ICLR 2026.He will be presenting his work on Swallow LLM at NVIDIA GTC 2026. He is currently seeking research internship opportunities in the US.Contact: kazuki.fujii [at] rio.scrc.iir.isct.ac.jp