Dylan Sechet contributed to deepinv/deepinv by enhancing the DEQ pipeline’s compatibility and stability, focusing on dependency management and configuration correctness to support NumPy 2+ and robust Anderson acceleration across arbitrary shapes. Using Python and deep learning frameworks, Dylan implemented regression tests to ensure reliability and reduce maintenance risk for downstream users. In bevyengine/bevy, Dylan addressed rendering correctness under image-based lighting, fixing sampling instability and aligning multi-scattering energy compensation with Filament references. Working in Rust and shader development, Dylan improved test determinism and documentation accuracy, resulting in higher visual fidelity and maintainability for physically-based rendering workflows in game development contexts.