
Worked on the I2PC/scipion-em-xmipp repository to modernize build and packaging workflows, streamline dependency management, and enhance GPU computing support. Migrated the build system from setup.py to pyproject.toml, centralizing metadata and improving Python packaging reliability. Refactored GPU allocation logic to standardize CUDA interactions and enable robust multi-GPU workflows in scientific computing protocols. Introduced a CondaCommandDef class and restructured the installer to ensure dependencies are managed and installed idempotently within Conda environments, reducing setup friction and supporting reproducible builds. Leveraged Python, TOML, and Conda to improve maintainability, deployment consistency, and performance visibility across the codebase.
June 2025 monthly summary for I2PC/scipion-em-xmipp: Delivered Conda environment dependency installation management, refactoring the installer to operate within the specified Conda environment. Introduced a CondaCommandDef class to centralize Conda commands and added a mechanism to mark dependencies as installed, enabling idempotent installs and faster builds. This work improves environment reproducibility, reduces setup-related issues, and lays groundwork for CI/CD and smoother onboarding. No critical bugs reported this month; the focus was on reliability and maintainability of the environment setup.
June 2025 monthly summary for I2PC/scipion-em-xmipp: Delivered Conda environment dependency installation management, refactoring the installer to operate within the specified Conda environment. Introduced a CondaCommandDef class to centralize Conda commands and added a mechanism to mark dependencies as installed, enabling idempotent installs and faster builds. This work improves environment reproducibility, reduces setup-related issues, and lays groundwork for CI/CD and smoother onboarding. No critical bugs reported this month; the focus was on reliability and maintainability of the environment setup.
March 2025 highlights across I2PC/scipion-em-xmipp: Delivered a modernized build and packaging workflow, improved versioning reliability for PyPI distributions, and enhanced GPU utilization to enable robust multi-GPU workflows. These changes reduce deployment friction, ensure consistent releases, and boost performance visibility for GPU-accelerated pipelines.
March 2025 highlights across I2PC/scipion-em-xmipp: Delivered a modernized build and packaging workflow, improved versioning reliability for PyPI distributions, and enhanced GPU utilization to enable robust multi-GPU workflows. These changes reduce deployment friction, ensure consistent releases, and boost performance visibility for GPU-accelerated pipelines.

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