💼 Professional experience
Agilytic
Data Engineer/Scientist Since sept. 2024
- Public Sector: Implemented an Azure data platform for InBW (water utility), developing ETL pipelines in Azure to centralize data management and enable data visualizations and BI use cases.
- Glass Industry : Developed a custom parser to extract visual and filter metadata across entire workspaces, enabling full transparency on reporting logic and sources.
- Hospital: designing and deploying an on‑premises chatbot that leverages internal HR and hospital documentation to answer staff questions securely and efficiently.
- Pan-European transport optimization : Designed a constraint-based routing model to consolidate deliveries across manufacturers. Achieved a ~20% reduction in empty mileage.
- Automated document classification & extraction : Built an OCR and LLM-based pipeline to process heterogeneous PDF/image reports and map them to specific buildings. Significant time savings and accuracy improvements.
- Internal projects
- Finetuning and benchmarking of Large Language Models. Python, Databricks.
- Automation of NBB and ECB data collection to build a comprehensive B2B database to enrich lead scoring models. SQL, Python, Azure.
Tech: Python, Power BI, Tabular Model Definition Language (TMDL)
Tech: Python, OR-tools, Power BI
Tech: Python, Azure OpenAI, Docker
Deloitte – SAP Data Analytics Intern
Feb. – Apr. 2024
Designed a partner screening tool within SAP BTP using multiple LLMs to detect high-risk commercial entities, reducing regulatory exposure and manual workload.
Tech: Python, SAP BTP, GenAI Lab
🦾 Certifications, trainings
Methodologies
- Infrastructure: Azure, Docker, Linux, Git
- Data Engineering / BI: Pandas, Polars, NumPy, Spark, Power BI, SQL
- GenAI: OpenAI, Mistral, Dify, LibreChat
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost
- LLMs & NLP: Hugging Face Transformers, LangChain, CrewAI, LangGraph, OpenAI API
- Optimization: OR-tools, heuristic solvers, constraint modeling
Certifications
- Microsoft Certified: Azure Fundamentals
- Microsoft Certified: Fabric Analytics Engineer Associate (ongoing)
🎓 Academic credentials
- MSc in Computer Science U Liège, 20222-2024
- BSc in Computer Science ULiège, 2017-2022
🇺🇳 Languages
🇫🇷 French: Native
🇬🇧 English: working proficiency
🇳🇱 Dutch: Limited proficiency
🔐 Proprietary and confidential. 💡 Profile CVs are provided for illustration purposes. ✅ Planning of specific experts will be secured upon formal agreement.