AI Engineer

I designed the PostgreSQL and Supabase data model for a women's fashion e-commerce store, covering products, variants, categories, stock, and orders for a catalog of more than 30 products.

I deployed an n8n AI agent that answers 50–100 daily Instagram customer messages, allowing the team to focus on complex requests. I also built backend data-collection features, automated order summaries and cash-on-delivery confirmations, and maintain the production store based on business feedback.

I developed an anomaly-detection system for Belgian railway tracks using machine learning and computer vision. The solution combined a U-Net segmentation model and an autoencoder to isolate critical areas and support targeted inspections.

I also integrated YOLOv8 for real-time train signal recognition, achieving 91% accuracy.

I built a RAG agent using Vertex AI over internal BigQuery data and integrated it into HubSpot for approximately 50 employees. This enabled employees to retrieve answers from company data without leaving their CRM.

I also developed Vertex AI workflows that automated recurring internal writing tasks while maintaining a consistent, specialized tone.

I built a data observability proof of concept focused on automated and manual data-quality validation.

I automated dbt tests and connected their results with manual data-quality checks in OpenMetadata, providing improved visibility into data quality.

Master's program in Information Systems and Artificial Intelligence.

Bachelor's program in Data and Artificial Intelligence.

Studies in Mathematics and Computer Science.