César De Souza
Research Scientist at Accord.NET Framework
Grenoble, Auvergne-Rhône-Alpes, France
Summary
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Rockstar🎓
Top SchoolCésar De Souza is a research scientist and seasoned software engineer with 14+ years of experience at the intersection of computer vision, machine learning, and high-performance systems engineering. He holds a PhD in Computer Vision and has published in top conferences while spearheading applied research at NAVER LABS Europe and Xerox Research Centre Europe. As creator of the widely used Accord.NET Framework (600k+ LOC), he has proven ability to translate research algorithms into robust, production-ready .NET libraries and tools. His background spans low-level C/C++ real-time server development, SIP/VoIP stacks and deep expertise in the .NET runtime, unsafe code and native interop, enabling both resource-critical and managed solutions. Notably, he has contributed ML-focused enhancements to TensorFlowSharp and maintains DevOps-grade build and packaging improvements for Accord.NET, highlighting a rare blend of research acumen and release-oriented engineering. Based in Grenoble, he combines academic rigor with pragmatic software architecture to deliver scalable, scientifically grounded systems.
14 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Vision, Doctor of Philosophy (Ph.D.), Computer Vision at Universitat Autònoma de BarcelonaHigh School, High School at Objetivo ValinhosBachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at Universidade Federal de São Carlos
English, Portuguese, Spanish, French
Stackoverflow
2,080reputation
590kreached
70answers
3questions
Github Skills (19)
nuget10
net10
machine-learning10
dotnet10
cicd10
asp-net10
tensorflow10
build-automation10
dotnet-core10
csharp10
release-management9
fsharp8
wpf6
visual-studio6
aforge6
Programming languages (8)
Github contributions (5)
accord-net/framework
Apr 2012 - Nov 2020
Machine learning, computer vision, statistics and general scientific computing for .NET
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:10 releases, 2220 commits, 119 PRs in 8 years 8 months
Contributions summary:César's commits primarily focus on improving the build process, adding packaging commands to upload packages to NuGet, and fixing Travis build configurations. The commits also indicate the user is working on improving the project's output paths for .NET Standard projects, modifying the creation of release files and ensuring that the project's dependencies and versioning are correct. Furthermore, the commits suggest that the user works on ensuring the project is deployable, building, and packaged.
convolutionc-sharpresamplingstatisticsgaussian-mixture-models
migueldeicaza/TensorFlowSharp
Jun 2017 - Dec 2017
TensorFlow API for .NET languages
Role in this project:ML Engineer
ML EngineerContributions:10 commits, 10 PRs, 48 comments in 5 months
Contributions summary:César primarily contributed to adding and testing new operations within the TensorFlowSharp library, focusing on machine learning functionalities. Their work included implementing dropout, clipping, and reducing mean and product operations, extending the library's capabilities. They also added support for jagged arrays, and the `tf.sigmoid_cross_entropy_with_logits` and `tf.where` functions, indicating a focus on expanding the functional scope of the library. Furthermore, the user added unit tests demonstrating practical application.
apidotnetdot-netnet-languagesmono
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