
Stunya contributed to the menloresearch/mujoco-wasm repository by building and refining core simulation infrastructure, focusing on stability, performance, and maintainability. Over five months, Stunya integrated sparse matrix support into MJX data structures to enable efficient physics simulations in WebAssembly, modernized Python dependencies for compatibility, and improved build reliability under LLVM 19. They addressed critical bugs in C++ and CUDA code, such as preventing stack overflows and uninitialized variables, and enhanced introspection workflows by correcting array extent parsing. Using C, C++, and Python, Stunya demonstrated depth in build systems, data handling, and software architecture, delivering robust, production-ready improvements.

April 2025 monthly summary for menloresearch/mujoco-wasm: Delivered targeted reliability improvements to the introspection workflow. No new features released this month; the focus was on correcting the Array Extent parsing in comments and strengthening test coverage. The fix ensures accurate representation of array dimensions in introspection data, reducing downstream misinterpretations and improving developer confidence when exploring models with complex structures. This work enhances data fidelity for downstream tooling and dashboards used by teams and customers.
April 2025 monthly summary for menloresearch/mujoco-wasm: Delivered targeted reliability improvements to the introspection workflow. No new features released this month; the focus was on correcting the Array Extent parsing in comments and strengthening test coverage. The fix ensures accurate representation of array dimensions in introspection data, reducing downstream misinterpretations and improving developer confidence when exploring models with complex structures. This work enhances data fidelity for downstream tooling and dashboards used by teams and customers.
March 2025 performance summary focused on stabilizing core libraries and ensuring reliable builds across configurations. Delivered targeted bug fixes in CUDA build paths for warp and robust data handling in Mujoco wasm, reducing potential build-time failures and runtime errors. Demonstrated strong debugging, cross-repo collaboration, and a commitment to maintainability and business value.
March 2025 performance summary focused on stabilizing core libraries and ensuring reliable builds across configurations. Delivered targeted bug fixes in CUDA build paths for warp and robust data handling in Mujoco wasm, reducing potential build-time failures and runtime errors. Demonstrated strong debugging, cross-repo collaboration, and a commitment to maintainability and business value.
January 2025 — Menlo Research (mujoco-wasm) monthly summary focusing on stability enhancements, Python bindings, and multi-threading readiness. Key features delivered: Version 3.2.7 release with Python bindings improvements and native multi-threading support. Major bugs fixed: guard against stack overflow in mjv_addGeoms when mjData is empty with mjVIS_TENDON by checking m->ntendon > 0, removing unconditional mj_markStack. Overall impact: increased reliability for tendon visualization workflows, cleaner Python integration, and improved performance on multi-core wasm runtimes. Technologies/skills demonstrated: C/C++, WebAssembly, multi-threading, Python bindings, release engineering, and changelog maintenance.
January 2025 — Menlo Research (mujoco-wasm) monthly summary focusing on stability enhancements, Python bindings, and multi-threading readiness. Key features delivered: Version 3.2.7 release with Python bindings improvements and native multi-threading support. Major bugs fixed: guard against stack overflow in mjv_addGeoms when mjData is empty with mjVIS_TENDON by checking m->ntendon > 0, removing unconditional mj_markStack. Overall impact: increased reliability for tendon visualization workflows, cleaner Python integration, and improved performance on multi-core wasm runtimes. Technologies/skills demonstrated: C/C++, WebAssembly, multi-threading, Python bindings, release engineering, and changelog maintenance.
Month 2024-12 – Key deliverable: MuJoCo Sparse Matrix Support integrated into MJX data structures for the menloresearch/mujoco-wasm repository. Implemented new fields to support sparsification, including sparse inertia, reduced dof-dof, and body-dof relationships, with mappings to connect sparse and dense representations to enable efficient physics simulations in WebAssembly. Associated commit fa8af0eea9760ea0bbafde3a9831cfd5b2f4eeda. This work extends the simulation model to handle sparse matrices, enabling larger, more memory-efficient scenes and higher throughput in browser-based MuJoCo workloads. Prepared the codebase for upcoming performance benchmarks and further sparsity-driven optimizations.
Month 2024-12 – Key deliverable: MuJoCo Sparse Matrix Support integrated into MJX data structures for the menloresearch/mujoco-wasm repository. Implemented new fields to support sparsification, including sparse inertia, reduced dof-dof, and body-dof relationships, with mappings to connect sparse and dense representations to enable efficient physics simulations in WebAssembly. Associated commit fa8af0eea9760ea0bbafde3a9831cfd5b2f4eeda. This work extends the simulation model to handle sparse matrices, enabling larger, more memory-efficient scenes and higher throughput in browser-based MuJoCo workloads. Prepared the codebase for upcoming performance benchmarks and further sparsity-driven optimizations.
November 2024 performance highlights for menloresearch/mujoco-wasm: Stabilized builds under LLVM 19 and modernized dependencies to improve compatibility, performance, and release readiness. These efforts reduced build failures, updated core tooling, and prepared the project for upcoming releases.
November 2024 performance highlights for menloresearch/mujoco-wasm: Stabilized builds under LLVM 19 and modernized dependencies to improve compatibility, performance, and release readiness. These efforts reduced build failures, updated core tooling, and prepared the project for upcoming releases.
Overview of all repositories you've contributed to across your timeline