David van Scheppingen
David van Scheppingen
Software and AI Engineer
I design and build reliable software for complex high-tech systems. My work combines modern C++ engineering with applied artificial intelligence to turn research concepts into production-ready solutions.

At Sioux Technologies, I contribute to the ASML TWINSCAN EXE:5200 project. I develop real-time laser control software that must meet strict performance and safety requirements, and I collaborate with hardware, optics, and systems engineers to ensure seamless integration in one of the most advanced manufacturing machines in the world.

I hold an MSc in Autonomous Systems from the Technical University of Denmark, where I specialized in machine learning and intelligent decision-making. During my thesis with Airbus Defence and Space, I developed reinforcement learning models for autonomous aircraft. My background includes AI, robotics, embedded systems, and performance-focused C++, providing a strong foundation for solving complex engineering challenges.
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My last projects </>
ASML TWINSCAN EXE:5200 Laser Source

ASML TWINSCAN EXE:5200 Laser Source
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I worked as a software designer on ASML's EXE:5200, using C++, formal verification, and rigorous testing to develop high-precision software for next-generation semiconductor manufacturing.
Master Thesis on Reinforcement Learning for Combat Aircraft

Master Thesis on Reinforcement Learning for Combat Aircraft

My master thesis at Airbus Defense and Space: Strategic Combat Aircraft Planning and Collaboration through Deep Multi-Agent Reinforcement Learning.
Mount & Blade II Bannerlord

Mount & Blade II Bannerlord

I worked as a software engineer, developing engine systems, gameplay mechanics, and AI behavior using C++ and C# to enhance performance, realism, and player experience.
Latest from blog
Material segmentation using UNet and VGGNet

Material segmentation using UNet and VGGNet
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Automating the Segmentation of X-ray Images with Deep Neural Networks.
© 2025 David van Scheppingen