Worked on the NVIDIA/warp repository to reimplement the Marching Cubes algorithm, migrating the codebase from C++ to pure Python using Warp. This transition enhanced cross-platform compatibility and enabled differentiability, making the pipeline more accessible for integration into Python-based research and engineering workflows. The developer preserved API and feature parity while reducing build complexity, streamlining the process for downstream applications in rendering, meshing, and machine learning. By leveraging skills in algorithm implementation, geometry processing, and GPU computing, the work resulted in tighter integration with the Warp runtime, improving developer productivity and facilitating more flexible experimentation within the Python ecosystem.