Juan Galvez is a software engineer with a PhD in computer networks and over a decade of experience building high-performance distributed systems for HPC, data analytics, and AI. He created Charm4py, a Python parallel programming runtime layered on a C++ framework that scales to thousands of nodes, and led development of Bodo’s C++ distributed query engine that demonstrated orders-of-magnitude speedups over Spark and Dask. At Modular and Voltron Data he focused on scalable model serving, compilers and IO/throughput optimization, and he now contributes at NVIDIA to modern AI infrastructure. Known for combining rigorous research (UIUC Parallel Programming Lab) with product-grade engineering, he excels at runtime systems, collective communication algorithms, topology-aware optimization and performance tuning. Based in Madison, WI, he pairs deep academic publications with practical open-source impact and a knack for making Python-friendly tooling perform at HPC scale.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Universidad de Murcia
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.