Paulo Amorim
Tecnologista Pleno at CTI Renato Archer
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolPaulo Amorim is a PhD-qualified computer scientist with 17 years of experience specializing in medical image processing, AI-driven segmentation, and open-source software development. Based in São Paulo, he blends research expertise with hands-on Python engineering, having implemented core image-processing features and STL surface generation in the widely used InVesalius 3D medical reconstruction project. He has driven applied research and product work—building deep learning segmentation tools and cranioplasty prosthesis pipelines—while managing the InVesalius user community and maintaining long-term project health. Comfortable across C/C++ and Python ecosystems, he leverages VTK/ITK, TensorFlow/Keras, and scientific libraries to move algorithms into production-ready tools. His career spans academic research, international collaborations, and industrial projects for clients like Petrobras, demonstrating an ability to translate complex imaging research into practical clinical and engineering solutions.
16 years of coding experience
9 years of employment as a software developer
PhD in Computer Science, PhD in Computer Science at University of CampinasMaster in Computer Science, Master in Computer Science at State University of Campinas - UNICAMPBachelor in Computer Science, Ciência da Computação, Bachelor in Computer Science, Ciência da Computação at Salesian University Center of São Paulo - UNISALComputer Technician, Técnico em Informática, Computer Technician, Técnico em Informática at Municipal Center for Professional Education of Paulínia - CEMEP
Portuguese, English, Spanish
Github Skills (5)
vtk10
python10
image-processing10
dicom9
3d-models8
Programming languages (3)
Github contributions (5)
invesalius/invesalius3
Jun 2009 - Jan 2023
3D medical imaging reconstruction software
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:6 releases, 1 review, 686 commits in 13 years 9 months
Contributions summary:Paulo implemented features related to image processing and display within the 3D medical imaging reconstruction software. They worked on optimizing the handling of image data, including resizing matrices and incorporating volume clipping planes. The contributions involved modifications to core modules, specifically in `invesalius/reader/dicom_reader.py`, `invesalius/data/viewer_volume.py`, and `invesalius/data/surface.py`, which suggests an understanding of the project's architecture. Additionally, they integrated STL surface generation functionality.
reconstructionpythonvolume-renderingmriimaging
paulojamorim/invesalius3
Apr 2015 - Apr 2025
Contributions:634 pushes, 15 branches in 10 years 1 month
reconstructionpythonimagingmedicalmedical-imaging
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