In April 2025, Dan enhanced the pixel sampling pipeline for the nerfstudio repository, focusing on efficient batch processing of variable-resolution image data. He refactored the sampling logic using Python, introducing a defaultdict-based approach to robustly store and organize sampled pixels. This ensured accurate sampling and collation of both images and depth images across diverse input resolutions, directly improving data integrity and scalability. Leveraging his skills in computer vision and data processing, Dan’s work addressed the challenges of handling heterogeneous input sizes, resulting in a more reliable and performant pipeline for batch operations without introducing new bugs during the development period.