Alea Nondum is a personal applied laboratory for turning forecasting ideas into a running system: ingesting market and weather data, producing forecasts, storing results cleanly, and presenting them in a simple public interface.
The project is deliberately end-to-end. It is not only about the model, but also about the engineering patterns needed to operate a forecasting workflow continuously and make its output inspectable.
It is also an experiment in AI-assisted engineering, but not a vibe-coding project. Part of the motivation is to explore the practical trade-off between delegating work to AI tools and remaining in the driving seat: building and deploying faster without giving up architectural ownership, code understanding, or the learning experience.
Dr. Raffaele G. Sgarlato
Energy Software & Machine Learning Engineer
Forecasting · Optimization
Berlin, Germany