Rôles occupés
Back-end
Miscellaneous
Cloud
Business Intelligence
Helped build an end-to-end BI solution in Microsoft Fabric, transforming raw vulnerability scan data into an executive dashboard. Wrote DAX measures, and created interactive Power BI reports enabling leadership to prioritize remediation.
Built a Retrieval-Augmented Generation (RAG) chatbot based exclusively on a curated collection of autism research articles using Google Gemini 2.5 Flash and ChromaDB.
Designed and implemented a cloud-native data pipeline that fetches real-time Belgian train departures from the iRail API and stores them in Azure SQL Database using Azure Function Apps.
Designed and implemented an end-to-end data pipeline from data acquisition (Webscraping), model training and evaluation (XGBoost), to deployment (FastAPI, Streamlit, Docker).
Developed user-centered Android applications integrating databases. Collaborated in team-based development using Git. Designed features based on user behavior and preferences.
Focus on Neuroscience & Computer Science.
