FreyavanApeldoorn/DSE-26
May 2025 – Jun 2025
2 Months active
Languages Used
Python
Technical Skills
Aerospace EngineeringAircraft DesignBattery SizingCode OrganizationData AnalysisEstimation
igorrAE
PROFILE
Igorrae
Irfan Ruland developed and enhanced core aircraft sizing and analysis features for the FreyavanApeldoorn/DSE-26 repository, focusing on battery mass estimation, hardware integration, and stability improvements. He implemented a quadratic estimator for battery sizing, reorganized project structure, and integrated mass constraints based on MTOW, all using Python. His work included building a hardware input system, refining CG calculation modules, and enabling diagram rendering for visual analysis. By addressing bugs and improving power calculation logic, Irfan strengthened simulation reliability and design verification. The depth of his contributions reflects strong skills in Python development, scientific computing, and systems engineering for aerospace applications.
Overall Statistics
Feature vs Bugs
85%Features
Repository Contributions
36Total
Bugs
2
Commits
36
Features
11
Lines of code
2,675
Activity Months2
Your Network
49 people
Work History
June 2025
30 Commits • 10 Features
Jun 1, 2025June 2025 monthly performance summary for FreyavanApeldoorn/DSE-26: Delivered core features and stability improvements across hardware input, CG calculations, diagram rendering, plotting, power modeling, and energy estimation. Achieved reliable hardware input workflow, initial CG computations with iterative refinements toward production readiness, and diagram loading/rendering to support visual analysis. Strengthened system stability through targeted fixes in stabcon and general debugging, plus hardware key fixes. Key business impact: improved reliability, accuracy of simulations, and faster design verification; enhanced safety with amperage checks and voltage handling in power models. Technologies/skills demonstrated: hardware-software integration, CG and energy estimation algorithms, diagram loading/rendering pipelines, real-time plotting, and robustness engineering.
30 Commits • 10 Features
Jun 1, 2025June 2025 monthly performance summary for FreyavanApeldoorn/DSE-26: Delivered core features and stability improvements across hardware input, CG calculations, diagram rendering, plotting, power modeling, and energy estimation. Achieved reliable hardware input workflow, initial CG computations with iterative refinements toward production readiness, and diagram loading/rendering to support visual analysis. Strengthened system stability through targeted fixes in stabcon and general debugging, plus hardware key fixes. Key business impact: improved reliability, accuracy of simulations, and faster design verification; enhanced safety with amperage checks and voltage handling in power models. Technologies/skills demonstrated: hardware-software integration, CG and energy estimation algorithms, diagram loading/rendering pipelines, real-time plotting, and robustness engineering.
June 2025
May 2025
6 Commits • 1 Features
May 1, 2025May 2025 performance summary — FreyavanApeldoorn/DSE-26 Key feature delivered: End-to-end battery mass estimation and sizing enhancement for aircraft sizing. This included a new estimator script, project structure reorganization, improved estimation accuracy via a quadratic relationship, direct parameter interface, integration into the sizing workflow, and MTOW-based mass constraint. Major bugs fixed: Series of fixes and refinements across six commits, including moving the battery estimation module, updating battery mass calculations, and addressing correctness with fixes such as 'Fix battery mass' and 'mass update', ensuring stable, accurate mass estimates under MTOW constraints. Overall impact and accomplishments: Significantly improved sizing accuracy and reliability of mass budgeting, enabling better design decisions and smoother workflow integration. The work reinforces a parameter-driven, scalable estimation approach and reduces manual intervention in the sizing process. Technologies/skills demonstrated: Python scripting, estimator modeling with a quadratic relation, software refactoring and project structure optimization, interface design for direct parameter access, workflow integration, and version control discipline.
May 2025
6 Commits • 1 Features
May 1, 2025May 2025 performance summary — FreyavanApeldoorn/DSE-26 Key feature delivered: End-to-end battery mass estimation and sizing enhancement for aircraft sizing. This included a new estimator script, project structure reorganization, improved estimation accuracy via a quadratic relationship, direct parameter interface, integration into the sizing workflow, and MTOW-based mass constraint. Major bugs fixed: Series of fixes and refinements across six commits, including moving the battery estimation module, updating battery mass calculations, and addressing correctness with fixes such as 'Fix battery mass' and 'mass update', ensuring stable, accurate mass estimates under MTOW constraints. Overall impact and accomplishments: Significantly improved sizing accuracy and reliability of mass budgeting, enabling better design decisions and smoother workflow integration. The work reinforces a parameter-driven, scalable estimation approach and reduces manual intervention in the sizing process. Technologies/skills demonstrated: Python scripting, estimator modeling with a quadratic relation, software refactoring and project structure optimization, interface design for direct parameter access, workflow integration, and version control discipline.
Activity
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Quality Metrics
Correctness80.2%
Maintainability80.6%
Architecture76.4%
Performance65.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AerodynamicsAerospace EngineeringAircraft DesignBattery SizingCode OrganizationConfiguration ManagementControl SystemsData AnalysisData ManagementData VisualizationDebuggingEmbedded SystemsEstimationFull Stack DevelopmentHardware Configuration
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