Juan Galvez

Software Engineer at NVIDIA

Madison, Wisconsin, United States
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Summary

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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.
code10 years of coding experience
job13 years of employment as a software developer
bookDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Universidad de Murcia
languagesSpanish, English
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Github Skills (61)

python10
toolbox10
in-memory10
asynchronous-tasks10
java10
distributed-computing10
charm10
apache-arrow10
parquet10
issue-tracking10
sympy9
apache9
system-programming9
parallel9
pascal9

Programming languages (4)

C++CJupyter NotebookPython

Github contributions (5)

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charmplusplus/charm4py

Aug 2017 - Sep 2019

Parallel Programming with Python and Charm++
Contributions:1 release, 273 commits, 290 PRs in 2 years
pythonparallelruntimedistributed-computingcharm
Contributions:2 pushes, 1 branch in 1 day
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Juan Galvez - Software Engineer at NVIDIA