
Over a two-month period, contributed to PTB-MR/mrpro by modernizing its documentation pipeline, enabling direct rendering of Jupyter notebooks in Sphinx using myst-nb. This eliminated manual HTML conversion, streamlined the CI workflow, and improved documentation accuracy and maintainability. Later, extended pytorch/ignite by adding 3D SSIM support for volumetric data, updating the metric and associated tests to handle 3D tensors. This enhancement broadened the library’s applicability to medical imaging and 3D vision workflows. Work demonstrated proficiency in Python, CI/CD, and PyTorch, with a focus on code quality, robust testing, and practical improvements to developer and user experience.
March 2025: Delivered 3D SSIM support for volumetric data in pytorch/ignite, extending the SSIM metric to 3D tensors and updating tests to accommodate 3D inputs. This enhancement enables robust quality assessment for 3D models and volumetric data pipelines, expanding the library's applicability to medical imaging, 3D vision, and related workflows. The work is tracked with a single commit for traceability and maintainability.
March 2025: Delivered 3D SSIM support for volumetric data in pytorch/ignite, extending the SSIM metric to 3D tensors and updating tests to accommodate 3D inputs. This enhancement enables robust quality assessment for 3D models and volumetric data pipelines, expanding the library's applicability to medical imaging, 3D vision, and related workflows. The work is tracked with a single commit for traceability and maintainability.
Month: 2024-11. Key features delivered: Documentation: Enable rendering of Jupyter notebooks in docs. Major bugs fixed: None identified in 2024-11 for PTB-MR/mrpro. Overall impact and accomplishments: Modernized the documentation build by rendering .ipynb notebooks directly in Sphinx via myst-nb, reducing manual HTML conversion steps and aligning docs with current notebooks. This improves documentation accuracy, onboarding, and user guidance while speeding up the docs build. Technologies/skills demonstrated: myst-nb integration, Sphinx configuration, CI workflow automation, and general repository maintenance focused on documentation quality and build reliability.
Month: 2024-11. Key features delivered: Documentation: Enable rendering of Jupyter notebooks in docs. Major bugs fixed: None identified in 2024-11 for PTB-MR/mrpro. Overall impact and accomplishments: Modernized the documentation build by rendering .ipynb notebooks directly in Sphinx via myst-nb, reducing manual HTML conversion steps and aligning docs with current notebooks. This improves documentation accuracy, onboarding, and user guidance while speeding up the docs build. Technologies/skills demonstrated: myst-nb integration, Sphinx configuration, CI workflow automation, and general repository maintenance focused on documentation quality and build reliability.

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