Transforming data into insights and building AI solutions that make an impact.
I have experience in software development across the full software lifecycle from requirements gathering to production deployment, combined with a background as a chemist in industrial and R&D settings. I have hands-on experience with C#, C++, Python, and data analysis, and I’m currently focused on Machine Learning, Generative AI, and AI in general. I am fluent in English and French.
- AI, Machine Learning, and Deep Learning applications
- Data Science and ML-powered products
- Cloud-based AI pipelines and end-to-end ML deployment
- Advanced Python and ML techniques
- Cloud engineering and automation (Azure, AWS)
- Continuous integration/deployment for ML (CI/CD pipelines)
AI/data projects that leverage big data and ML for practical insights.
Analytics & Data Science:
Python | Pandas | Numpy | Matplotlib | Seaborn
Machine Learning:
Scikit-learn | TensorFlow | PyTorch
Cloud / ML Engineering:
Azure | AWS | Docker | Terraform
Development / Programming:
C# | .NET | MVC | MVVM | WPF | SQL | Python | C++ | NUnit |
Full Stack / Web:
HTML | CSS | JavaScript | XAML