🧠 Neural Networks

Deep learning was a major focus of my Master's programmes at KU Leuven and ETH Zürich. I studied and implemented Convolutional Neural Networks (CNNs) for image classification, Recurrent Neural Networks (RNNs) for sequential data, and Transformer architectures underpinning modern LLMs. Projects included implementing neural networks from scratch in NumPy to understand backpropagation deeply, and training models on GPU clusters. At IBM, I investigate GenAI use cases using large language models and prompt engineering.