Rôles occupés
Cloud
Back-end
Miscellaneous
Backend Python development for business-critical platforms in the public sector.
• Design and development of backend services and data processing components
• Technical architecture and modernization of legacy applications
• Data structuring, transformation and modeling
• Process automation using Python
• Collaboration with functional teams to translate business needs into technical solutions
Focus: performance, data consistency, and production reliability.
Backend Python development for large-scale public-sector platforms.
• Development of complex data models and business workflows
• Data extraction and structuring for urban planning processes
• Performance optimization (catalogs, indexing, queries)
• Maintenance and evolution of large enterprise applications deployed across 60+ public administrations
Focus: reliability, scalability and data quality.
Development and maintenance of business applications.
• Implementation of business rules and backend logic
• UI refactoring and improvements
• Support and evolution of internal enterprise tools
Training program focused on Artificial Intelligence and Data Engineering.
• Python for data science and machine learning
• Machine Learning and Deep Learning fundamentals
• Data analysis and preprocessing (Pandas, NumPy)
• SQL and data modeling
• BI tools (Power BI)
• ETL concepts and data pipelines (SSIS)
• API development with Flask
• Business process modeling (BPMN)
Capstone project: Credit Risk Scoring ML system including data analysis, model training (Logistic Regression), explainability, and deployment via Flask API and Docker on Google Cloud Run.
Certified training program in software development with a focus on C# and .NET technologies.
• Object-oriented programming (OOP)
• Application development with C#
• Software architecture fundamentals
• Database interaction and application design
