// artificial intelligence
AI
AI topics studied and applied — from classical search algorithms to modern machine learning and neural networks.
Machine Learning
Supervised, unsupervised, and reinforcement learning. Applied ML in recommender systems, forecasting pipelines, and GenAI prototypes.
Read more →Neural Networks
Deep learning with CNNs, RNNs, Transformers, and custom architectures. Studied at KU Leuven and ETH Zürich.
Read more →MiniMax
Game tree search algorithm for adversarial games. Implemented in Chess Bot and Dots and Boxes with alpha-beta pruning.
Read more →AlphaZero
Self-play reinforcement learning for board games. Studied and implemented concepts from DeepMind's AlphaZero.
Read more →Data Mining
Extracting patterns and insights from large datasets. Applied at Toyota and in academic research.
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