AI / Machine Learning

🤖 Machine Learning

Supervised, unsupervised, and reinforcement learning. Applied ML in recommender systems, forecasting pipelines, and GenAI prototypes.

Machine Learning is the core of my academic and professional work. My Master in Computer Science Engineering at KU Leuven specialised in AI, and I continued this at ETH Zürich. Applied highlights include: building a music recommender system using collaborative and content-based filtering for my thesis; developing a 3-month manpower and logistics forecasting pipeline at Toyota using Python and Snowflake; and investigating GenAI use cases at IBM using LLMs and IBM Consulting Advantage (ICA). I hold an ML Practitioner certification (2025) and Microsoft Azure AI Fundamentals.