During a one-month contribution to the carla-simulator/carla repository, Aroca focused on refining the Poisson disc sampling workflow using C++ and Unreal Engine. He simplified the point generation process by removing random seed generation and eliminating per-point random metadata, which previously introduced non-determinism and increased maintenance complexity. By consolidating the code and removing the 'Density' metadata attribute, Aroca improved reproducibility and made the workflow easier to debug and maintain. His work emphasized algorithm implementation, resulting in a leaner, more maintainable codebase that supports faster onboarding for new contributors and enhances the reliability of the point-generation pipeline.