Ishaan Kandamuri enhanced flight dynamics and state estimation for the ISSUIUC/MIDAS-Software repository, focusing on improving estimation accuracy and maintainability. He implemented conditional gravity application based on rocket flight state and refactored aerodynamic coefficient data to support future spline interpolation, enabling smoother state estimation updates. Using C++ and leveraging his expertise in aerospace engineering and embedded systems, Ishaan simplified the Kalman filter’s state transition matrix by removing aerodynamic and mass-dependent terms, delegating their integration to more appropriate modules. This work established a robust foundation for data-driven aerodynamic modeling, reflecting a thoughtful and methodical approach to complex system architecture.