
Worked on the EvoEngine repository to deliver Python bindings for the Tree Data Generator, enabling automated and scriptable dataset generation workflows. Refactored core C++ components, including TreeDataGeneratorApp.cpp, to standardize camera capture settings and output file naming, improving consistency across generated datasets. Enhanced runtime stability by simplifying OptiX logging and introducing Vulkan checks, addressing potential failure points in the graphics pipeline. Leveraged C++, Python, and CUDA to streamline integration between native and scripting environments. The work focused on maintainability and robustness, with targeted code cleanup and documentation updates that support reliable, automated data generation for 3D graphics and ray tracing applications.
February 2025 - EvoEngine (edisonlee0212/EvoEngine): Delivered Tree Data Generator Python bindings and robustness enhancements. Refactored TreeDataGeneratorApp.cpp to standardize camera capture settings and output naming; simplified OptiX logging and added Vulkan checks to improve runtime stability. Enables Python-driven data generation workflows and strengthens reliability for automated pipelines.
February 2025 - EvoEngine (edisonlee0212/EvoEngine): Delivered Tree Data Generator Python bindings and robustness enhancements. Refactored TreeDataGeneratorApp.cpp to standardize camera capture settings and output naming; simplified OptiX logging and added Vulkan checks to improve runtime stability. Enables Python-driven data generation workflows and strengthens reliability for automated pipelines.

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