
Contributed to the RocketPy repository by developing advanced stochastic simulation features and enhancing thrust modeling fidelity for aerospace applications. Leveraging Python and object-oriented programming, introduced a StochasticAirBrakes class and extended stochastic modeling to include wind factor corrections and eccentricity, improving simulation accuracy and visualization. Refactored motor classes to support pressure-corrected thrust calculations, integrating reference pressure and adjusting vacuum thrust for varying atmospheric conditions. Focused on backend and full stack development, the work improved reliability and user-facing insights for mission analysis and performance prediction. Emphasized code refactoring, unit testing, and data visualization to ensure robust, maintainable software engineering outcomes.
April 2025: RocketPy development focused on enhancing thrust modeling fidelity under varying atmospheric conditions. Delivered a pressure-corrected thrust calculation feature with reference pressure integration and adjusted vacuum thrust for atmospheric pressure and nozzle area. Refactored motor classes to support accurate thrust calculations across diverse atmospheric conditions, improving reliability for mission analysis and performance prediction.
April 2025: RocketPy development focused on enhancing thrust modeling fidelity under varying atmospheric conditions. Delivered a pressure-corrected thrust calculation feature with reference pressure integration and adjusted vacuum thrust for atmospheric pressure and nozzle area. Refactored motor classes to support accurate thrust calculations across diverse atmospheric conditions, improving reliability for mission analysis and performance prediction.
March 2025 monthly summary for RocketPy: Delivered major enhancements to stochastic simulation capabilities, fixed wind factor usage bugs, extended stochastic modeling with eccentricity, and introduced a new StochasticAirBrakes class, accompanied by improved visualization and domain support. These changes improve accuracy, reliability, and user-facing insights for stochastic analyses on the RocketPy project.
March 2025 monthly summary for RocketPy: Delivered major enhancements to stochastic simulation capabilities, fixed wind factor usage bugs, extended stochastic modeling with eccentricity, and introduced a new StochasticAirBrakes class, accompanied by improved visualization and domain support. These changes improve accuracy, reliability, and user-facing insights for stochastic analyses on the RocketPy project.

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