
Jan Möseritz-Schmidt contributed to both the SciPy and conda-forge/staged-recipes repositories, focusing on feature development and documentation quality. In SciPy, Jan improved contributor attribution by updating the mailmap, ensuring accurate author recognition through careful documentation and version control practices. For conda-forge, Jan developed and integrated the arxiv-latex-cleaner package, streamlining LaTeX code preparation for arXiv submissions using Python and YAML configuration. Additionally, Jan delivered a new recipe for pole-zero computation in the skzeros package, expanding mathematical tooling for complex analysis. The work demonstrated depth in Python development, package management, and collaborative repository workflows, with an emphasis on maintainability.
March 2026 performance summary focused on delivering a new feature in the conda-forge/staged-recipes pipeline and validating packaging workflow. Key achievements are highlighted below with explicit commit reference for traceability. No major bugs fixed were reported in this period. Overall, the month advanced complex-analysis tooling availability in the conda ecosystem and demonstrated strong packaging discipline and repository collaboration.
March 2026 performance summary focused on delivering a new feature in the conda-forge/staged-recipes pipeline and validating packaging workflow. Key achievements are highlighted below with explicit commit reference for traceability. No major bugs fixed were reported in this period. Overall, the month advanced complex-analysis tooling availability in the conda ecosystem and demonstrated strong packaging discipline and repository collaboration.
February 2026 monthly summary for conda-forge/staged-recipes focused on delivering tooling that enhances researcher submission workflows. Implemented and shipped a dedicated Arxiv LaTeX Cleaner Package to streamline LaTeX code preparation for arXiv submissions, reducing manual cleanup and rework. No major bug fixes were required this month. Overall impact: smoother, faster submission process for researchers relying on staged-recipes, improved code hygiene for LaTeX-heavy recipes, and a clearer path for future tooling in the repository. Technologies/skills demonstrated: Python packaging and library development, clean code practices, integration with an established conda-forge staging workflow, and version-controlled feature delivery.
February 2026 monthly summary for conda-forge/staged-recipes focused on delivering tooling that enhances researcher submission workflows. Implemented and shipped a dedicated Arxiv LaTeX Cleaner Package to streamline LaTeX code preparation for arXiv submissions, reducing manual cleanup and rework. No major bug fixes were required this month. Overall impact: smoother, faster submission process for researchers relying on staged-recipes, improved code hygiene for LaTeX-heavy recipes, and a clearer path for future tooling in the repository. Technologies/skills demonstrated: Python packaging and library development, clean code practices, integration with an established conda-forge staging workflow, and version-controlled feature delivery.
December 2025 (2025-12) focused on improving contributor attribution and documentation quality in the SciPy repo. Delivered a documentation-only change to update the mailmap to reflect the correct author name for Jan Möseritz-Schmidt, ensuring accurate attribution across the project's documentation. No major bugs were fixed this month. Overall impact includes improved contributor recognition, governance transparency, and reduced attribution confusion. Demonstrated skills in documentation standards, git workflow, and repository maintenance, reinforcing SciPy's commitment to accurate documentation and contributor acknowledgement.
December 2025 (2025-12) focused on improving contributor attribution and documentation quality in the SciPy repo. Delivered a documentation-only change to update the mailmap to reflect the correct author name for Jan Möseritz-Schmidt, ensuring accurate attribution across the project's documentation. No major bugs were fixed this month. Overall impact includes improved contributor recognition, governance transparency, and reduced attribution confusion. Demonstrated skills in documentation standards, git workflow, and repository maintenance, reinforcing SciPy's commitment to accurate documentation and contributor acknowledgement.

Overview of all repositories you've contributed to across your timeline