Worked on enhancing documentation for two major repositories, scverse/scvi-tools and ultralytics/ultralytics, with a focus on improving onboarding and deployment reliability. Developed a detailed example for within-cluster differential expression analysis in scvi-tools, using Python and bioinformatics workflows to guide users through per-cell-type comparisons and result aggregation. In ultralytics, clarified object tracking documentation by explaining persistence and tracker backend selection, leveraging expertise in OpenCV and YOLO. Collaborated across teams, contributing to code reviews and maintaining high documentation standards. The work emphasized practical, example-driven guidance, reducing misconfiguration risks and supporting advanced data analysis and object tracking use cases.