Hey there, I’m Giulio 👋
I graduated back in August 2025 with an MSc in Applied Mathematics from the University of Strasbourg (France). I’m passionate about software engineering and machine learning.
Background
I am originally from Italy and I moved to France after high school to study maths. Over the past six years, I’ve lived, studied, and worked abroad.
Experience
Siemens Digital Industries Software (Internship)
Developed a reactive trajectory-planning module for industrial robotic arms inside Siemens top PLM software Process Simulate. Designed and implemented a three-layer architecture (C# WPF UI → C++/CLI interop → native C++) that processes RGB-D data from depth cameras, converts it to world-frame point clouds, removes robot self-geometry, and feeds filtered data into real-time collision detection and path-replanning systems.
Learn more here.
Cemosis – CNRS spin-off (Internship)
Optimized 3D terrain mesh generation pipelines for finite element simulations in urban energy modeling.Developed a C++ pipeline using constrained Delaunay triangulation (CGAL) and Mapbox Terrain-RGB API elevation data.
Learn more here.
Expertise
- Software engineering, machine learning, data science.
- Scientific computing, numerical methods for PDEs (FME, FVM), optimization, HPC.
Technical Skills
Programming Languages & Frameworks
C/C++, C#, C++/CLI, Python, R, SQL/NoSQL, Bash.
Key Libraries & Tools
TensorFlow, PyTorch, scikit-learn, NumPy, SciPy, Pandas, Matplotlib, Plotly, CGAL, .NET (WPF), OpenCL, MPI.
Machine Learning & AI
Regression, Classification, Clustering, Neural Networks (ANN, RNN, CNN), Deep Learning, Generative Models, Scientific Machine Learning, Uncertainty Quantification.
Modeling, Simulation & Optimization
Numerical Methods for PDEs, Finite Element/Volume Methods, Mesh Generation, Point Cloud Processing, Optimization Techniques, High-Performance Computing.
Tools & Practices
Git/GitHub, Docker, CI/CD, Visual Studio 2022, Agile/Scrum.
Hobbies
On my free time I run, swim, play chess and do many other fun things.