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, laying groundwork for data-driven aero modeling. Ishaan also simplified the Kalman filter’s state transition matrix by removing aerodynamic and mass-dependent terms, delegating their integration to more appropriate modules. Working primarily in C++ and leveraging his expertise in aerospace engineering and embedded systems, he delivered a focused, foundational feature that addressed core estimation challenges and prepared the codebase for further aerodynamic improvements.