FreyavanApeldoorn/DSE-26
May 2025 – Jun 2025
2 Months active
Languages Used
Python
Technical Skills
Aerospace EngineeringCode RefactoringData ScienceDocumentationObject-Oriented ProgrammingOptimization
lsijgers
PROFILE
Lsijgers
Lars Sijgers contributed to the FreyavanApeldoorn/DSE-26 repository by developing core modules for UAV nest sizing, storage optimization, and aerodynamics modeling. He implemented Python-based frameworks for calculating wing and tail parameters, integrating maximum takeoff weight, and visualizing maneuver and gust diagrams across flight conditions. His work included refactoring subsystem responsibilities, enhancing mission timeline estimation, and improving documentation for maintainability. By leveraging skills in aerospace engineering, data analysis, and scientific computing, Lars delivered robust parameter tuning and automated testing harnesses. The depth of his contributions enabled more accurate performance analysis, streamlined resource planning, and supported iterative aircraft design and simulation workflows.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
15Total
Bugs
1
Commits
15
Features
4
Lines of code
1,020
Activity Months2
Your Network
34 people
Work History
June 2025
7 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for FreyavanApeldoorn/DSE-26: Expanded the Aerodynamics Core Modeling with tail/wing sizing, MTOW integration, and a parameter-tuning testing harness; delivered Maneuver & Gust Diagram Visualization with cruise-mode diagrams, stall speeds, lift-curve slope, and sea level vs 3000m plotting; added combined load diagram plots and visualization improvements to support faster, more accurate performance analysis and design iteration.
7 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for FreyavanApeldoorn/DSE-26: Expanded the Aerodynamics Core Modeling with tail/wing sizing, MTOW integration, and a parameter-tuning testing harness; delivered Maneuver & Gust Diagram Visualization with cruise-mode diagrams, stall speeds, lift-curve slope, and sea level vs 3000m plotting; added combined load diagram plots and visualization improvements to support faster, more accurate performance analysis and design iteration.
June 2025
May 2025
8 Commits • 2 Features
May 1, 2025May 2025 monthly summary focusing on business value and technical achievements. Key initiatives delivered this month include major feature development in nest sizing and UAV storage optimization, improvements to mission timing estimations, and subsystem refactoring for clearer responsibilities. These changes enhanced resource planning, reliability, and maintainability.
May 2025
8 Commits • 2 Features
May 1, 2025May 2025 monthly summary focusing on business value and technical achievements. Key initiatives delivered this month include major feature development in nest sizing and UAV storage optimization, improvements to mission timing estimations, and subsystem refactoring for clearer responsibilities. These changes enhanced resource planning, reliability, and maintainability.
Activity
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Quality Metrics
Correctness83.4%
Maintainability82.6%
Architecture80.0%
Performance69.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AerodynamicsAerospace EngineeringAircraft DesignCode RefactoringData AnalysisData ScienceData VisualizationDocumentationEngineering SimulationNumerical AnalysisObject-Oriented ProgrammingOptimizationParameter CalculationPythonPython Programming
Repositories Contributed To
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