Samuel Trahan
Software Engineer Research Scientist at Cooperative Institute for Research in Environmental Sciences
Silver Spring, Maryland, United States
Summary
👤
Senior🎓
Top SchoolSamuel Trahan is a software engineer and research scientist with 14 years of experience specializing in high-performance computing, C++, Python, and optimization for earth and atmospheric science applications. He has been a chief architect and code manager on large-scale operational forecasting systems, modernizing workflows and porting complex models like HWRF, CLM, and UFS into robust, production-ready pipelines. Samuel combines deep domain knowledge in numerical weather prediction with practical DevOps and build expertise—improving portability and automation across supercomputers and cloud platforms (WCOSS, GAEA, Jet, AWS, Azure, GCP). Notable contributions include adding advanced diagnostics and single-precision physics to FV3/UFS and creating petabyte-to-terabyte data reduction systems for forecasters. He is skilled at translating research models into maintainable, high-reliability software and has a track record of introducing engineering practices (Agile, refactoring large script bases to OOP Python) that accelerate operations.
14 years of coding experience
7 years of employment as a software developer
UMBC
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
nws10
fortran10
prediction10
atmospheric-modelling10
bash10
regression-testing10
numerical10
weather10
numeric10
scripting10
build-automation10
scientific-computing9
data-structure9
struct9
data-structures9
Programming languages (7)
Github contributions (5)
ufs-community/ufs-weather-model
Dec 2016 - Jan 2023
UFS Weather Model
Role in this project:
DevOps Engineer & Build & Release Engineer
DevOps Engineer & Build & Release EngineerContributions:151 reviews, 166 commits, 45 PRs in 6 years 1 month
Contributions summary:Samuel primarily focuses on enhancing the build and testing infrastructure for the UFS Weather Model. Their commits involve significant changes to `compile.sh`, `rt.sh`, and related scripts, indicating a focus on automating the build process and regression testing. They added support for new test cases, adapted the system for various platforms (WCOSS, GAEA, Jet), and addressed module loading issues. The user's work significantly improves the robustness and portability of the build and testing pipeline for the weather model.
reactnoaanwpweather-modelatmosphere
NOAA-EMC/fv3atm
Jan 2017 - Dec 2022
Role in this project:Back-end Developer
Back-end DeveloperContributions:72 reviews, 14 commits, 32 PRs in 6 years
Contributions summary:Samuel primarily contributed to the development of diagnostic tools and functionalities within the atmospheric model. Their work involved adding and modifying diagnostic outputs, including 3D tracer tendencies, per-timestep pressure diagnostics, and radar-derived microphysics temperature tendencies. They also refactored surface restart logic, ensuring the model's ability to save and load data correctly. This work appears focused on improving the model's output capabilities and data handling.
numerical-weather-predictionnwp
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