Developed a comprehensive digital twin for an electric vehicle powertrain in the verg1lio/XangoER repository, focusing on battery, motor, inverter, and vehicle dynamics modeling. Leveraged MATLAB and Python to overhaul the motor modeling framework, migrating from a legacy three-phase induction motor class to a modern architecture that incorporates inverse Park and Park transformations for improved control fidelity. Designed and implemented a user interface that enables rapid parameter adjustments and simulation execution, streamlining scenario analysis and validation. The work reduced technical debt by removing obsolete components and established a foundation for future extensibility, demonstrating depth in control systems and data visualization.