Terrence Mcguinness
HPC Applications Analyst
College Park, Maryland, United States
Summary
👤
Senior🎓
Top SchoolTerrence Mcguinness is an experienced HPC applications analyst with over eight years specializing in scalable scientific computing, workflow automation, and performance optimization for government and enterprise supercomputing programs. He has repeatedly bridged software-to-systems gaps—designing CI/CD pipelines for global forecasting models, modernizing NOAA/DoD HPC workflows, and evaluating workflow management solutions for premier DoD centers. Fluent in MPI, OpenMP, C/C++, Fortran, Python, containerized DevOps, and Spack, he pairs deep numerical analysis and PDE modeling expertise with hands-on systems engineering. Based in College Park, MD, he combines academic training (MS Computational Science, MS Applied Mathematics) with practical experience porting and scaling legacy codes to modern distributed platforms. Notably, Terrence has been entrusted to lead cloud and container initiatives for NOAA and to architect end-to-end automated CI frameworks for operational forecasting—demonstrating both domain credibility and production-grade delivery.
8 years of coding experience
7 years of employment as a software developer
MS Computational Science, MS Computational Science at San Diego State University
Github Skills (12)
jedi10
gfs9
configurator9
forecast9
release-management8
configuration-manager8
ufs7
cicd5
infrastructure-management5
noaa5
emc5
python3
Programming languages (3)
Github contributions (5)
NOAA-EMC/CROW
Aug 2017 - Apr 2019
Configurator/Configuration manager of Research and Operational Workflows
Contributions:83 commits in 1 year 8 months
configuratorrelease-managementinfrastructure-managementoperationalconfiguration-manager
WalterKolczynski-NOAA/global-workflow
Mar 2018 - Dec 2018
Contributions:116 commits in 8 months
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