Quincey Koziol is a Principal Engineer with 34 years of experience architecting high-performance scientific storage and HPC systems, currently at NVIDIA after leadership roles at AWS, Berkeley Lab, and The HDF Group. He is a principal author and long-time maintainer of HDF5 and has contributed bug fixes and performance instrumentation to widely used scientific libraries such as netCDF and HDF5, improving parallel I/O and timing accuracy. Known for bridging research-grade software and production infrastructure, he designs data stacks that enable large-scale scientific workflows and high-frequency trading data access alike. Based in Savoy, Illinois, he combines deep systems-level expertise with startup and non-profit experience, and his work is notable for subtle correctness and performance fixes that quietly benefit large scientific ecosystems.
34 years of coding experience
33 years of employment as a software developer
B.S. Electrical Engineering, B.S. Electrical Engineering at University of Illinois Urbana-Champaign
Contributions:1324 reviews, 279 commits, 123 PRs in 14 years 11 months
Contributions summary:Quincey made several changes to the HDF5 library, modifying the code to incorporate monotonic timers for file I/O operations such as open, close, read, and write. These changes involved adding and using timers to measure the elapsed time for each I/O operation and logging the timer values. The user also corrected a calculation error related to the clock_gettime function in the H5timer.c file. The changes are focused on performance measurement and improving the library's internal workings.
Official GitHub repository for netCDF-C libraries and utilities.
Role in this project:
Back-end Developer
Contributions:69 commits, 2 PRs, 2 comments in 1 year 6 months
Contributions summary:Quincey made several code changes related to the netCDF-C libraries and utilities. Their contributions involved bug fixes, particularly addressing issues in parallel applications when writing data to unlimited-dimension variables. Furthermore, the user improved the handling of variable types and attributes in the HDF5 file format. The work includes refactoring, code cleanups, and addressing compiler warnings.
unidatasciencenetcdfunidata-netcdfatmosphere
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