Portfolio
AI applications I have built. From chatbots and knowledge systems to automated workflows: each project shows how AI adds concrete value.
Machine Learning Regression Project
Predicting a target variable from several features using supervised learning. A comparison of linear models (Ridge, Lasso, ElasticNet) with tree-based methods (Random Forest, Gradient Boosting).
Building a small neural network
Building a simple neural network in Python step by step, from the input layer and hidden layers to the output layer and the training loop. This project shows how a network learns by correcting its own errors through backpropagation, without using ready-made libraries. Ideal if you want to really understand what happens behind the scenes.
AI Ethics Chatbot
A chatbot that answers questions about AI ethics and quizzes users on the responsible use of AI. Built with RAG technology on top of the course material.
Agentic Grant Strategist
An agentic workflow that analyses grant files, identifies relevant funding opportunities and formulates strategic advice, fully automated through AI agents.
OpenAI API vs Ollama
A comparison between the OpenAI API and Ollama for running language models. When do you choose a cloud model, when do you run locally, and what are the practical differences?
Reinforcement project explained (with a text-to-speech twist)
A reinforcement learning project in which an agent learns through reward and punishment, explained with a self-made text-to-speech voice-over as a creative extra layer.