Brian Mak is a Senior Systems Researcher based in Berkeley with a decade of experience at the intersection of ML systems and research, currently working on efficient large language model architectures and scaling laws. As a PhD student in Computer Science at UC Santa Cruz and researcher in NLP and information retrieval, he blends rigorous academic methods with hands-on systems engineering from roles at Berkeley Lab and Together AI. His work on the residual-matrix-transformer highlights a focus on mechanistic interpretability and practical architectural improvements for LLMs. Comfortable moving between simulation, data analysis, and kernel-level systems, he brings a physics-trained analytical mindset to ML systems challenges. Quietly, his trajectory shows a pattern of contributing to both cutting-edge research and production-oriented tooling that accelerates model scaling and understanding.
10 years of coding experience
4 years of employment as a software developer
Master's degree Natural Language Processing, Master's degree Natural Language Processing at UC Santa Cruz Natural Language Processing Master's Program
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at UC Santa Barbara
Contributions:12 pushes, 1 branch, 1 comment in 4 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Brian Mak - Senior Systems Researcher at Together AI