
Worked on the FreyavanApeldoorn/DSE-26 repository, delivering end-to-end battery mass estimation and sizing enhancements for aircraft design. Developed a new estimator script using Python, introducing a quadratic relationship for improved accuracy and integrating it into the sizing workflow with MTOW-based constraints. Refactored project structure for better code organization and enabled direct parameter interfaces to streamline tuning. Expanded the system with hardware input integration, CG calculation modules, diagram rendering, and robust power modeling, incorporating real-time plotting and stability updates. Addressed bugs and refined mass and energy estimation logic, demonstrating skills in scientific computing, embedded systems, and full stack software engineering.
June 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 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.
May 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 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.

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