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VukanJ

PROFILE

Vukanj

Vukan Jevtic developed and integrated a new calibration capability for LHCb flavour tagging within the conda-forge/staged-recipes repository, enabling enhanced data analysis for scientific computing workflows. He focused on Python and YAML to implement the calibration library and standardized the lhcb-ftcalib recipe configuration, improving environment stability and governance by refining dependency management and adding maintainers. His work included integrating LbEnv and ensuring compatibility with Python 3.10, which streamlined collaborative development and package management. Over the month, Vukan’s contributions addressed both technical and organizational aspects, resulting in robust, maintainable infrastructure for researchers relying on reproducible Python environments.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

5Total
Bugs
0
Commits
5
Features
2
Lines of code
73
Activity Months1

Work History

December 2025

5 Commits • 2 Features

Dec 1, 2025

December 2025 monthly summary for conda-forge/staged-recipes. Focused on delivering a new calibration capability for LHCb flavour tagging and strengthening project governance and environment stability through recipe configuration improvements.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonYAML

Technical Skills

Package ManagementPythonPython developmentYAMLYAML configurationcollaborative developmentdata analysisdependency managementpackage managementrecipe managementscientific computing

Repositories Contributed To

1 repo

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

conda-forge/staged-recipes

Dec 2025 Dec 2025
1 Month active

Languages Used

PythonYAML

Technical Skills

Package ManagementPythonPython developmentYAMLYAML configurationcollaborative development