
Contributed to the I2PC/scipion-em-xmipp and I2PC/xmipp repositories by developing features and resolving bugs focused on data integrity, visualization robustness, and build automation. Delivered a Metrics API and automated CI workflow using GitHub Actions, improving project observability and deployment safety. Enhanced header handling in scientific image processing pipelines with Python and C++, ensuring consistent sampling rates and reducing data drift. Strengthened the FSO viewer’s stability for edge-case data, refining data visualization logic to prevent crashes. Refactored Python module initialization for reliability and maintainability. Demonstrated expertise in API development, code refactoring, and scientific computing across C++, Python, and CMake.
Monthly summary for 2026-04 (I2PC/xmipp). Features delivered: Implemented Xmipp CI workflow using GitHub Actions and introduced a Metrics API, along with build-process refinements and updated documentation. Major bugs fixed: Python module initialization stability fix achieved through refactoring to ensure correct object references and robust module handling. Overall impact and accomplishments: Accelerated development velocity through automated CI, improved observability of project health via the new Metrics API, and more reliable runtime behavior, enabling safer deployments and faster onboarding. Technologies/skills demonstrated: CI/build automation with GitHub Actions, API design for metrics, Python module architecture and refactoring, build process optimization, and technical documentation improvements.
Monthly summary for 2026-04 (I2PC/xmipp). Features delivered: Implemented Xmipp CI workflow using GitHub Actions and introduced a Metrics API, along with build-process refinements and updated documentation. Major bugs fixed: Python module initialization stability fix achieved through refactoring to ensure correct object references and robust module handling. Overall impact and accomplishments: Accelerated development velocity through automated CI, improved observability of project health via the new Metrics API, and more reliable runtime behavior, enabling safer deployments and faster onboarding. Technologies/skills demonstrated: CI/build automation with GitHub Actions, API design for metrics, Python module architecture and refactoring, build process optimization, and technical documentation improvements.
March 2025: Strengthened reliability and usability of the FSO viewer in I2PC/scipion-em-xmipp. Resolved critical edge-case crash by hardening processing of data that do not cross thresholds, updated color scale defaults and plotting logic to handle boundary data, insufficient points, and undefined slopes, ensuring stable visualizations across datasets. This work improves analyst productivity by delivering more robust visualizations and reducing downstream support.
March 2025: Strengthened reliability and usability of the FSO viewer in I2PC/scipion-em-xmipp. Resolved critical edge-case crash by hardening processing of data that do not cross thresholds, updated color scale defaults and plotting logic to handle boundary data, insufficient points, and undefined slopes, ensuring stable visualizations across datasets. This work improves analyst productivity by delivering more robust visualizations and reducing downstream support.
February 2025: Delivered a header handling improvement for XmippProcessVolumes in I2PC/scipion-em-xmipp, introducing a new setHeader method to ensure the sampling rate is consistently applied to all output MRC files and removing a redundant header update call. This strengthens data consistency and reliability of downstream analyses. Major bugs fixed: none this month.
February 2025: Delivered a header handling improvement for XmippProcessVolumes in I2PC/scipion-em-xmipp, introducing a new setHeader method to ensure the sampling rate is consistently applied to all output MRC files and removing a redundant header update call. This strengthens data consistency and reliability of downstream analyses. Major bugs fixed: none this month.
January 2025: Delivered a critical header fix for the Monogenic Signal Resolution Protocol in the scipion-em-xmipp project to ensure correct sampling rate in resolution maps. Updated headers via Ccp4Header to prevent misinterpretation of map data, thereby improving data integrity for downstream analyses and user trust. Change implemented in commit 578b75f05d454ce73cd256f5e17854c077e5143c and validated against CCP4-compatible maps.
January 2025: Delivered a critical header fix for the Monogenic Signal Resolution Protocol in the scipion-em-xmipp project to ensure correct sampling rate in resolution maps. Updated headers via Ccp4Header to prevent misinterpretation of map data, thereby improving data integrity for downstream analyses and user trust. Change implemented in commit 578b75f05d454ce73cd256f5e17854c077e5143c and validated against CCP4-compatible maps.

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