¡Hola, Hi, Tere!
Welcome to my personal website. Let me introduce myself.
I am an Machine Learning engineer that enjoys building products and services that millions can use. In the past, I have developed recommender systems for varied domains such as academic literature in Mendeley and fashion in ASOS. More recently, I have been working on other Machine Learning applications for the ride hailing company Bolt, such as churn modelling, conversion prediction and OCR.
Currently, I am part of the IoT/smart buildings startup Infogrid where, amongst other things, I am developing a system that provides sensor-based insights to make buildings safer, more comfortable and sustainable.
I received a PhD from the Autonomous University of Madrid (UAM) in Spain under the supervision of Prof Pablo Castells. The research topic was the evaluation and enhancement of novelty and diversity in recommender systems. As a result of it, I wrote several research papers, a Java framework called RankSys and a dissertation.
I am happy to share my experiences in conferences, events and meetups when time allows it. In the last couple of years, I have participated in different events such as EGG London, Microsoft Build and Search Solutions.