Curiosity, with
an engineering instinct.

One practice informs another.

I started with data engineering and business intelligence, then moved into developing and deploying machine learning models. At Sandoz, I worked on financial forecasting. At WPP, I design systems for enterprise classification and supplier entity resolution.

Alongside that work, I research machine learning at Universidad Carlos III de Madrid’s Signal Processing Group. My interests include transformer architectures, attention mechanisms, generative models and probabilistic approaches to time series.

Research lets me question the assumptions behind a method. Engineering asks whether that method can be made dependable in a real setting. I enjoy the conversation between them.

Building from the first question.

Quickie is my independent iOS personal finance project. It gives me a place to work across product decisions, interface design and implementation, starting with a straightforward problem: keeping track of money should take less effort.

My papers use the name Darío C. Larese. This site brings my research, professional work and independent projects together.