Summer/Fall 2015
Software Engineer Intern - Google
Improved the performance of a computer vision task applying Deep Learning while working with the Street Smart team (Google Geo).
2014 - Present
Ph.D. student - Universitat Politècnica de València
I am a Ph.D. student at the Pattern Recognition and Human Language Technology Research Center. My research focuses on handwritting text recognition and keyword spotting.
Summer 2014
Computer Vision Engineer - Blinkfire Analytics
Improved performance of the computer vision algorithms used for brand spotting. Blinkfire Analytics uses computer vision to measure impact on social media providing reports to sport teams, players, agents and sponsors.
Summer 2013
Software Engineer Intern - Google
Implemented a framework for creating synthetic training data for different OCR applications, matching state-of-the-art performance on digital and scene text recognition using only synthetic training data.
2012 - 2014
Master's degree - Universitat Politècnica de València
Master in Artificial Intelligence, Pattern Recognition and Digital Imaging working on keyword spotting for historical handwritten text documents. Thesis: "Out of Vocabulary Queries for Graph-based Keyword Spotting".
Summer 2012
Software Engineer Intern - Google
Improved recognition accuracy across many languages for Google Books using supervised deep learning for feature extraction.
2007 - 2012
Engineer's degree - Universitat Politècnica de València
Engineering degree in Computer Science, focusing on Formal Languages and Artificial Intelligence. I spent one year at the Royal Institute of Technology (KTH), in Sweden doing Machine Learning and Distributed Systems courses.