Rodrigo Mologni

São Paulo, São Paulo, Brazil
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Summary

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Rodrigo Mologni is a software engineer with 12 years of experience, combining a PhD in computer engineering with hands-on R&D work in scientific visualization. Based in São Paulo, he focuses on back-end development for visualization tooling, notably contributing substantive features and bug fixes to the widely used PyVista library for VTK-based 3D plotting and mesh analysis. His contributions span advanced dataset manipulation, memory-aware operations, and improved plotting utilities—demonstrating both deep domain knowledge and practical engineering rigor. Rodrigo brings research-grade problem solving to production-quality code, bridging academic insight and usable open-source tooling for the scientific community.
code13 years of coding experience
job8 years of employment as a software developer
bookDoutorado em Engenharia Elétrica, Computer Engineering, Capes 7, Doutorado em Engenharia Elétrica, Computer Engineering, Capes 7 at Universidade Estadual de Campinas
bookHabilitação Profissional de Técnico em Administração, Business Administration and Management, General, Habilitação Profissional de Técnico em Administração, Business Administration and Management, General at Centro Estadual de Educação Tecnológica Paula Souza
languagesEnglish, Portuguese
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Github Skills (10)

vtk10
python10
plot10
3d10
numpy9
mesh-processing9
scientific-visualization9
pyside6
windows6
qt6

Programming languages (8)

PowerShellTypeScriptC++CSSRustJavaScriptHTMLPython

Github contributions (5)

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pyvista/pyvista

Jan 2021 - Oct 2022

3D visualization and mesh analysis for science and engineering
Role in this project:
userBack-end Developer
Contributions:9 reviews, 23 commits, 32 PRs in 1 year 9 months
Contributions summary:Rodrigo primarily contributed to enhancing the pyvista library by implementing new functionalities and fixing existing bugs. They added features such as a reflect filter and methods related to dataset object manipulation, including actual memory size, copy structure, and copy attributes. Their work also included fixes for the add_point_labels function and the log scale functionality within the scalar bar. The user's contributions improved data manipulation, plotting, and overall library functionality.
3dvisualizationvtkpythonmeshviewer
Contributions:10 pushes in 5 years 1 month
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