
Worked on the cs-24-sw-9-xx/MAEPS repository, delivering features and fixes to enhance simulation realism, maintainability, and performance. Developed map-wide robot spawn distribution, improved graph visualization, and implemented a realistic communication model using Siddon's algorithm with material-based attenuation. Addressed bugs in map generation and visualization alignment, ensuring accurate rendering and stable user experience. Modernized the CI/CD pipeline to .NET 9 and introduced benchmarking to validate communication performance. Leveraged C#, Unity, and YAML for algorithm implementation, build automation, and data visualization. Prioritized code quality through refactoring, linting, and expanded test coverage, supporting reliable experimentation and future feature development.
June 2025 MAEPS development focused on modernizing CI/CD, stabilizing performance, and establishing measurable benchmarks to support ongoing reliability and business value. Key decisions prioritized alignment with upcoming features, code health, and measurable performance improvements across the communication stack.
June 2025 MAEPS development focused on modernizing CI/CD, stabilizing performance, and establishing measurable benchmarks to support ongoing reliability and business value. Key decisions prioritized alignment with upcoming features, code health, and measurable performance improvements across the communication stack.
April 2025 MAEPS: Delivered a critical bug fix in the map generation component to correct wall tile type assignment. The change ensures walls ('X' characters) render as the Brick tile type, resolving wall representation issues and stabilizing map rendering.
April 2025 MAEPS: Delivered a critical bug fix in the map generation component to correct wall tile type assignment. The change ensures walls ('X' characters) render as the Brick tile type, resolving wall representation issues and stabilizing map rendering.
March 2025 MAEPS development summary: Delivered two core features in cs-24-sw-9-xx/MAEPS: (1) Robot Collision Toggle enabling/disabling robot collisions by updating prefab configurations and spawning logic for flexible simulations; (2) Realistic Communication Model using Siddon's algorithm to compute signal strength with material-based attenuation, including tests and code quality fixes. These changes improve simulation realism, configurability, and maintainability.
March 2025 MAEPS development summary: Delivered two core features in cs-24-sw-9-xx/MAEPS: (1) Robot Collision Toggle enabling/disabling robot collisions by updating prefab configurations and spawning logic for flexible simulations; (2) Realistic Communication Model using Siddon's algorithm to compute signal strength with material-based attenuation, including tests and code quality fixes. These changes improve simulation realism, configurability, and maintainability.
February 2025 MAEPS: Delivered map-wide robot spawn distribution and corrected visualization offsets to improve realism and reliability. Feature expanded spawning range and refined randomness to support diverse experiments; visualization offset issues cleaned up for accurate rendering across all components. Resulted in more accurate simulations, faster iteration, and clearer debugging signals for ongoing model tuning.
February 2025 MAEPS: Delivered map-wide robot spawn distribution and corrected visualization offsets to improve realism and reliability. Feature expanded spawning range and refined randomness to support diverse experiments; visualization offset issues cleaned up for accurate rendering across all components. Resulted in more accurate simulations, faster iteration, and clearer debugging signals for ongoing model tuning.
Concise monthly summary for 2024-11 focused on delivering business value through robust visualization improvements and reliable pathfinding behavior, with emphasis on maintainability and data-driven configuration.
Concise monthly summary for 2024-11 focused on delivering business value through robust visualization improvements and reliable pathfinding behavior, with emphasis on maintainability and data-driven configuration.

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