Arthur Stemmer is a software engineer with a decade of experience building ML infrastructure and full-stack systems, from low-level hardware-aware code to distributed training clusters. He has shipped production ML and cloud services at AWS (Bedrock, EMR), contributed to systems work in Rust and PyTorch at X, and now focuses on bringing predictability to large capital projects at iconic works. Trained in electrical engineering (Imperial) and computer science (Georgia Tech), he combines rigorous academic foundations with hands-on experimentation—deep-diving ArXiv papers, hackathons, and Recurse Center projects in CUDA, graphics, and LLMs. Equally comfortable optimizing model runtimes and architecting scalable services, he brings a rare transistor-to-cluster perspective and a playful creative streak (prancing, dancing, “neuromancing”) to challenging engineering problems.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (BEng) Electrical and Electronic Engineering, Bachelor of Engineering (BEng) Electrical and Electronic Engineering at Imperial College London
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Gymnasium diploma NG/NT, Gymnasium diploma NG/NT at Het Baarnsch Lyceum
Contributions:70 commits, 5 PRs, 23 pushes in 2 months
ethereumparityaddressbookdapp
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