About me
I work with people. Always looking to improve team spirit. Over the past few years, I've made a successful career transition. And I am absolutely convinced that this was only possible with a lot of proactiveness and problem-solving skills. I have advanced business English for public presentations, public speaking, virtual meetings and so on. I'm still at a basic level of Spanish and other languages.
Causality in machine learning, causal inference and graph networks are my research focus. I'm also interested in subjects such as fairness, ethics, interpretability and security in machine learning models.
As a hobby I like to learn about phenomena that involve data itself, such as data quality, data leakage, data bias, data fallacies and so on. Which are not obvious at all.
In practice, the way I add value to companies is by building intelligent systems that use causal machine learning models. Mainly, putting them into production with the MLOps philosophy, which guarantees a continuous delivery system that constantly adds value to the business through reliable models in production.