Jean-sylvain Boige
CTO at Aricie
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolJean-sylvain Boige is a seasoned CTO and .NET software architect with 13 years of experience designing DNN-based platforms, in-house frameworks, and production-grade libraries for enterprise clients. He blends hands-on backend development with AI research training (MRes in Artificial Intelligence, MSc Telecom) and founded a MyIA initiative, reflecting a strong interest in applied AI. At Aricie he led R&D and mentored teams while contributing open-source components—portal agents, Lucene-based search, URL rewriting and distributed caching—that improved extensibility and performance across deployments. His open-source work includes practical genetic-algorithm enhancements for the popular GeneticSharp project, where he implemented novel chromosome strategies and GTK samples for Sudoku solving, demonstrating an ability to turn algorithmic research into usable engineering. Based in Greater Paris, he combines pragmatic product-focused engineering with a researcher’s curiosity for algorithms and optimization.
13 years of coding experience
MRes, Artificial Intelligence, MSc, Telecom, MRes, Artificial Intelligence, MSc, Telecom at University of Sussex
French, English, Spanish, German
Github Skills (9)
artificial-intelligence10
genetic-algorithm10
csharp10
dotnet-core10
netstandard9
dotnet-new9
dotnet-cli9
dotnet9
gtk8
Programming languages (9)
Github contributions (5)
giacomelli/GeneticSharp
Oct 2018 - Nov 2020
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 44 commits, 8 PRs in 2 years 1 month
Contributions summary:Jean-sylvain contributed to the GeneticSharp.Runner.GtkApp sample, adding extension classes and a GTK sample for solving Sudokus. Their work involved implementing different chromosome types for solving Sudokus, including RowsPermutations, Cells, and RandomRowsPermutations. They also added support for loading Sudoku files and configuring the genetic algorithm parameters. The user further improved the project by incorporating various optimizations and cleanup tasks.
csharpgenetic-algorithmmultithreadinggenetic-algorithmsartificial-intelligence
jsboige/MSMIN5IN31-20-Sudoku
Oct 2020 - Apr 2023
Sudoku solvers Benchmark in c#
Contributions:5 reviews, 9 PRs, 18 pushes in 2 years 6 months
crosswordsolversplacementsudokubenchmark
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