cs-24-sw-9-xx/MAEPS
Nov 2024 – Jun 2025
6 Months active
Languages Used
BatchC#ShellUnityUnityScriptYAMLBatch ScriptMarkdown
Technical Skills
AI/MLAlgorithm DesignAlgorithm ExperimentationAlgorithm ImplementationAlgorithm OptimizationAutomation
Henrik van Peet
PROFILE
Henrik Van Peet
Henrik Peet developed advanced simulation and patrolling features for the cs-24-sw-9-xx/MAEPS repository, focusing on scalable robotics coordination and experiment automation. He engineered algorithmic optimizations, such as symmetry-based distance matrix computation and HashSet-based lookups, to accelerate large-scale map experiments. Using C# and Unity, Henrik refactored core infrastructure for modularity, introduced flexible configuration for experimental setups, and enhanced reliability through robust error handling and logging. His work included integrating AI pathfinding, virtual stigmergy, and distributed coordination logic, resulting in improved runtime performance, maintainability, and test coverage. The depth of his contributions enabled faster, more reliable experimentation and deployment.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
170Total
Bugs
21
Commits
170
Features
68
Lines of code
7,076
Activity Months6
Your Network
3 peopleShared Repositories
3
Work History
June 2025
12 Commits • 7 Features
Jun 1, 2025June 2025 MAEPS monthly summary: Delivered performance and reliability improvements through targeted algorithm optimizations, data-structure changes, and configurable experimentation. These changes enable faster experiments on larger maps, more robust takeover and patrolling coordination, and a flexible, maintainable architecture for experimental configurations. Business value includes reduced compute time, improved scalability, and stronger correctness guarantees in critical coordination logic.
12 Commits • 7 Features
Jun 1, 2025June 2025 MAEPS monthly summary: Delivered performance and reliability improvements through targeted algorithm optimizations, data-structure changes, and configurable experimentation. These changes enable faster experiments on larger maps, more robust takeover and patrolling coordination, and a flexible, maintainable architecture for experimental configurations. Business value includes reduced compute time, improved scalability, and stronger correctness guarantees in critical coordination logic.
June 2025
May 2025
34 Commits • 20 Features
May 1, 2025May 2025 MAEPS: Delivered core features for scalable simulations, hardened stability with crash fixes, and enhanced observability and configuration, enabling faster iteration and more reliable experiments. Focused on business value: improved throughput of simulations, reduced downtime due to crashes, and clearer configuration for experimentation.
May 2025
34 Commits • 20 Features
May 1, 2025May 2025 MAEPS: Delivered core features for scalable simulations, hardened stability with crash fixes, and enhanced observability and configuration, enabling faster iteration and more reliable experiments. Focused on business value: improved throughput of simulations, reduced downtime due to crashes, and clearer configuration for experimentation.
April 2025
25 Commits • 8 Features
Apr 1, 2025April 2025 performance summary for MAEPS: Implemented architectural refactors to improve modularity and edition scoping, delivered core CC infrastructure enhancements, and advanced virtual stigmergy capabilities. Key feature work includes RNN wiring refactor with partition extraction, CC core structuring for non-global editions, and a first MVP of cc-virtual-stigmergy with scene support. Major reliability improvements were achieved through targeted bug fixes (property naming, crash, virtual stigmergy map stability, conflicts/rebase). The work enhances business value by enabling scalable CC deployments, more robust data consistency, and clearer operational diagnostics. Technologies demonstrated include refactoring for modular architecture, derived-class patterns in virtual stigmergy, scene integration, improved logging and assertion messaging, and stronger testing signals.
25 Commits • 8 Features
Apr 1, 2025April 2025 performance summary for MAEPS: Implemented architectural refactors to improve modularity and edition scoping, delivered core CC infrastructure enhancements, and advanced virtual stigmergy capabilities. Key feature work includes RNN wiring refactor with partition extraction, CC core structuring for non-global editions, and a first MVP of cc-virtual-stigmergy with scene support. Major reliability improvements were achieved through targeted bug fixes (property naming, crash, virtual stigmergy map stability, conflicts/rebase). The work enhances business value by enabling scalable CC deployments, more robust data consistency, and clearer operational diagnostics. Technologies demonstrated include refactoring for modular architecture, derived-class patterns in virtual stigmergy, scene integration, improved logging and assertion messaging, and stronger testing signals.
April 2025
March 2025
29 Commits • 7 Features
Mar 1, 2025March 2025 MAEPS development focused on delivering core features with robust quality improvements, expanding test coverage, and strengthening maintainability to drive reliability and speed-to-value for production deployments.
March 2025
29 Commits • 7 Features
Mar 1, 2025March 2025 MAEPS development focused on delivering core features with robust quality improvements, expanding test coverage, and strengthening maintainability to drive reliability and speed-to-value for production deployments.
February 2025
38 Commits • 16 Features
Feb 1, 2025February 2025 (2025-02) monthly performance summary for repository cs-24-sw-9-xx/MAEPS. Key features delivered: - Visibility and LOS enhancements: parameterization improvements, breakfastcolumn LOS variant, and delegation of visibility logic to a dedicated algorithm component. Commits highlighted: 6259b41cbe164c04bc23eb3e50eb9c5fc553f8fa; ccc8f17c8e08c6c3e563add9bf5b872a6228f177; 36aec6b922184d8cb802ccc0841d282b205835d9; af33ffbba736ac44498d2bed78088778c1dc88fe; c87b38fd02a1772ce1e57ac7b3b976e3e14052a5. - Pre-commit tooling and batch formatting updates: strengthened formatting discipline across the codebase. Commits: 02ffd8e47626b7f6bf577ee919d3b53facc4e0a9; 7bf0f17cf5dd4f807b9d73935bb3d3a914bcbd34. - Documentation updates (readmes and MAEPS coverage): improved onboarding and user documentation. Commits: b1549050b9676fc941275f576125a9f15593e95f; 4749e42240ec1a70105d2f1abd3a4b22d38f9143. - Code formatting and linting cleanup: automated formatting and lint cleanups to raise code quality. Commits: a1d50ec241de4e5384ada342dc517d4f0aa202fc; 62302947a2ca23e3183924a52d2c4f4100fc476a; 3283b8a919bf742026209b9dc232b35bbf6089e1. - Additional quality improvements: debug logging gated to debug mode, and test infrastructure improvements to organize tests and improve coverage. Commits: 52f21b88f9d89e15a27c26437724f493a70b1b4e; 039714829a59199123939ed8e82943fc4901f8d4; d37a90d1c9472d4930c3a0376a410d48190264a0. Major bugs fixed: - Vertex visitation correctness: fixed premature visitation marking and copy-by-reference issues. Commits: 8b6b93f80a60777f169c0c45e724f26d33375de0; 1da174f750f2a2bee1bb4d1960236594ebbcbe0f. - CC algorithm caching: added path cache, reverse cache lookup, and migrated cache to use IDs for robustness. Commits: 856b521351c5f2028defc013621084c56487a78a; 494a9ca1cc77ef9e02bc94ee6337e98ce08a394d; 2b16fe87b9372ffc5798c6494d5d70db88522275. - Bug fix: breaking issue introduced by user S3JER restored functionality. Commit: 7684c5ae668b76a9af01ce83c13a416c4a6952f6. - Debug logs control: ensure debug logs emit only in debug builds. Commit: 52f21b88f9d89e15a27c26437724f493a70b1b4e. - Variable naming and code hygiene: naming fixes to reduce confusion. Commit: 7717dae4bb0c589838d17929f830c2dc8d80f293. Overall impact and accomplishments: - Increased correctness and stability for core vertex and CC paths; improved performance through caching optimizations; broader test coverage and structured test infrastructure; higher code quality through formatting and linting; clearer, up-to-date MAEPS documentation. These changes reduce maintenance cost, lower risk in production, and accelerate future feature delivery. Technologies and skills demonstrated: - Systems-level programming and algorithm optimization (visibility, LOS, CC path caching). - Refactoring and modular design (delegate-based visibility, header updates, scaffolding for heuristics). - Quality practices (pre-commit tooling, formatting, linting, test organization, and coverage). - Documentation literacy (MAEPS docs and readme enhancements). Business value: - Faster, more reliable MAEPS feature delivery with robust visibility/LOS behavior and efficient CC processing; improved developer onboarding and lower risk through tooling and tests; better documentation enabling faster customer value realization.
38 Commits • 16 Features
Feb 1, 2025February 2025 (2025-02) monthly performance summary for repository cs-24-sw-9-xx/MAEPS. Key features delivered: - Visibility and LOS enhancements: parameterization improvements, breakfastcolumn LOS variant, and delegation of visibility logic to a dedicated algorithm component. Commits highlighted: 6259b41cbe164c04bc23eb3e50eb9c5fc553f8fa; ccc8f17c8e08c6c3e563add9bf5b872a6228f177; 36aec6b922184d8cb802ccc0841d282b205835d9; af33ffbba736ac44498d2bed78088778c1dc88fe; c87b38fd02a1772ce1e57ac7b3b976e3e14052a5. - Pre-commit tooling and batch formatting updates: strengthened formatting discipline across the codebase. Commits: 02ffd8e47626b7f6bf577ee919d3b53facc4e0a9; 7bf0f17cf5dd4f807b9d73935bb3d3a914bcbd34. - Documentation updates (readmes and MAEPS coverage): improved onboarding and user documentation. Commits: b1549050b9676fc941275f576125a9f15593e95f; 4749e42240ec1a70105d2f1abd3a4b22d38f9143. - Code formatting and linting cleanup: automated formatting and lint cleanups to raise code quality. Commits: a1d50ec241de4e5384ada342dc517d4f0aa202fc; 62302947a2ca23e3183924a52d2c4f4100fc476a; 3283b8a919bf742026209b9dc232b35bbf6089e1. - Additional quality improvements: debug logging gated to debug mode, and test infrastructure improvements to organize tests and improve coverage. Commits: 52f21b88f9d89e15a27c26437724f493a70b1b4e; 039714829a59199123939ed8e82943fc4901f8d4; d37a90d1c9472d4930c3a0376a410d48190264a0. Major bugs fixed: - Vertex visitation correctness: fixed premature visitation marking and copy-by-reference issues. Commits: 8b6b93f80a60777f169c0c45e724f26d33375de0; 1da174f750f2a2bee1bb4d1960236594ebbcbe0f. - CC algorithm caching: added path cache, reverse cache lookup, and migrated cache to use IDs for robustness. Commits: 856b521351c5f2028defc013621084c56487a78a; 494a9ca1cc77ef9e02bc94ee6337e98ce08a394d; 2b16fe87b9372ffc5798c6494d5d70db88522275. - Bug fix: breaking issue introduced by user S3JER restored functionality. Commit: 7684c5ae668b76a9af01ce83c13a416c4a6952f6. - Debug logs control: ensure debug logs emit only in debug builds. Commit: 52f21b88f9d89e15a27c26437724f493a70b1b4e. - Variable naming and code hygiene: naming fixes to reduce confusion. Commit: 7717dae4bb0c589838d17929f830c2dc8d80f293. Overall impact and accomplishments: - Increased correctness and stability for core vertex and CC paths; improved performance through caching optimizations; broader test coverage and structured test infrastructure; higher code quality through formatting and linting; clearer, up-to-date MAEPS documentation. These changes reduce maintenance cost, lower risk in production, and accelerate future feature delivery. Technologies and skills demonstrated: - Systems-level programming and algorithm optimization (visibility, LOS, CC path caching). - Refactoring and modular design (delegate-based visibility, header updates, scaffolding for heuristics). - Quality practices (pre-commit tooling, formatting, linting, test organization, and coverage). - Documentation literacy (MAEPS docs and readme enhancements). Business value: - Faster, more reliable MAEPS feature delivery with robust visibility/LOS behavior and efficient CC processing; improved developer onboarding and lower risk through tooling and tests; better documentation enabling faster customer value realization.
February 2025
November 2024
32 Commits • 10 Features
Nov 1, 2024November 2024 MAEPS monthly summary focusing on delivered features, fixes, and impact. The team delivered standardized configuration and tooling across the Unity-based project, advanced patrolling algorithm experiments, an enhanced estimation framework with tests, and targeted code quality improvements. These efforts improve developer productivity, CI reliability, and runtime performance in large-scale simulations.
November 2024
32 Commits • 10 Features
Nov 1, 2024November 2024 MAEPS monthly summary focusing on delivered features, fixes, and impact. The team delivered standardized configuration and tooling across the Unity-based project, advanced patrolling algorithm experiments, an enhanced estimation framework with tests, and targeted code quality improvements. These efforts improve developer productivity, CI reliability, and runtime performance in large-scale simulations.
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Quality Metrics
Correctness87.4%
Maintainability89.4%
Architecture84.0%
Performance79.8%
AI Usage20.4%
Skills & Technologies
Programming Languages
BatchBatch ScriptC#MarkdownShellShell ScriptUnityUnity Scene ConfigurationUnityScriptYAML
Technical Skills
AIAI PathfindingAI ProgrammingAI/MLAPI DesignAbstract ClassesAlgorithm DesignAlgorithm DevelopmentAlgorithm ExperimentationAlgorithm ImplementationAlgorithm OptimizationAlgorithm RefactoringAlgorithm TestingAutomationBackend Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline