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Nncm-xbc

Simon Hugot contributed to the Fozyhh/Aerospace-Group-B-Module-1 repository by developing robust data analysis pipelines, memory profiling tools, and scalable simulation features over a three-month period. He enhanced the build system using CMake and Makefile, integrated 2Decomp and FFTW3 for high-performance computing, and improved MPI-based parallelization for distributed simulations. Simon refactored profiling scripts in Python to generate cleaner analytics and introduced configurable, file-driven simulation parameters for greater flexibility. His work included documentation improvements with Doxygen and precision fixes in C++ domain calculations, resulting in more reliable simulations, streamlined onboarding, and maintainable tooling for scientific and aerospace computing workflows.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

15Total
Bugs
1
Commits
15
Features
6
Lines of code
47,385
Activity Months3

Work History

January 2025

3 Commits • 1 Features

Jan 1, 2025

January 2025 monthly summary for Fozyhh/Aerospace-Group-B-Module-1. Delivered foundational build integration for 2Decomp and FFTW3, improved numerical reliability in domain calculations, and reinforced build reproducibility and documentation. This period focused on delivering business value through robust tooling and accurate computations for aerospace simulations.

December 2024

7 Commits • 3 Features

Dec 1, 2024

December 2024 monthly summary for Fozyhh/Aerospace-Group-B-Module-1: delivered scalable simulation improvements, enhanced configurability via input-driven parameters, and documentation/build-system cleanup to accelerate development and onboarding. Focused on business value through performance, flexibility, and maintainability.

October 2024

5 Commits • 2 Features

Oct 1, 2024

October 2024 performance summary for Fozyhh/Aerospace-Group-B-Module-1. The month focused on delivering robust data-analysis pipelines and memory-profiling tooling to enable data-driven optimization and faster debugging cycles. Key outcomes include cleaner data preparation for downstream analytics and richer visualization of memory usage and errors, improving both insight quality and tooling maintainability.

Activity

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Quality Metrics

Correctness80.6%
Maintainability80.0%
Architecture74.8%
Performance72.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

CC++CMakeMakefileMarkdownPythonShell

Technical Skills

Build System ConfigurationBuild System ManagementBuild SystemsC++CMakeCode CleanupConfiguration ManagementData AnalysisData ProcessingData VisualizationDocumentationFile I/OFinite Difference MethodsHigh-Performance ComputingMPI

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Fozyhh/Aerospace-Group-B-Module-1

Oct 2024 Jan 2025
3 Months active

Languages Used

CMakePythonShellCC++MakefileMarkdown

Technical Skills

Build System ConfigurationData AnalysisData ProcessingData VisualizationPerformance AnalysisPerformance Profiling

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