Francesco Montesano
Senior Consultant at TNG Technology Consulting
Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolFrancesco Montesano is a Senior Consultant and former astronomer with 13 years of experience building scientific software, data validation pipelines, and visualization tools—primarily in Python with occasional C++. He is a core developer for HETDEX data analysis and the principal author of an automated observation-scheduling tool, blending domain knowledge in astronomy with practical engineering. At TNG and the Max Planck Institute he has delivered robust, tested systems and improved test suites for major open-source projects like pip and matplotlib, demonstrating attention to quality and maintainability. His toolbox spans pytest, sphinx, NumPy/Astropy, PyQt, databases (Oracle/MySQL/SQLite), Docker, ZeroMQ and lightweight web stacks. Based in Bavaria, he combines academic rigor (PhD in Astronomy) with hands-on consultancy, often translating complex scientific requirements into reliable production software. A detail that stands out: he contributes not just features but test and documentation improvements to widely used Python projects, reflecting a focus on long-term software health.
13 years of coding experience
9 years of employment as a software developer
Ludwig Maximilian University of MunichUniversity of Milan
Italian, English, German
Stackoverflow
8,573reputation
1.6mreached
127answers
8questions
png
top-5%
matplotlib
top-1%
python
top-1%
plot
top-5%
numpy
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image
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Github Skills (25)
data-visualizations10
pytest10
python10
matplotlib10
testing10
packaging10
data-visualisation10
exception-handling10
pip10
data-visualization10
image9
debug9
debugging9
numpy9
plot9
Programming languages (7)
Github contributions (5)
matplotlib/matplotlib
Nov 2012 - Mar 2015
matplotlib: plotting with Python
Role in this project:
Backend Developer
Backend DeveloperContributions:50 commits, 2 PRs, 22 comments in 2 years 4 months
Contributions summary:Francesco primarily contributed to the improvement of the matplotlib library. They fixed documentation errors in the `axes` module, updated the `pyplot` module, and ran a boilerplate script against a specific version. Additionally, the user modified several modules, including `contour`, `figure`, `blocking_input`, and `axis`, by changing or removing `assert` statements and adapting code to use `ValueError` exceptions.
pythondata-sciencegtkdata-visualizationplotting
pypa/pip
Jan 2016 - Nov 2016
The Python package installer
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:7 commits, 2 PRs, 37 comments in 9 months
Contributions summary:Francesco primarily focused on improving the test suite for the pip package installer. Their contributions involved adding tests for uninstalling entry points with colons in their names and ensuring GUI scripts were correctly removed during uninstallation. They also updated test dependencies and made minor adjustments to existing tests, contributing to the overall robustness of the testing framework.
pythonpackage-installerpippackaginginstaller
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