Pau Montes
About Pau Montes
Pau Montes is a Project Manager specializing in Machine Translation at the European Patent Office, where he has worked since 2007. He has a background in telecommunications engineering and scientific computing, and has held various positions in mobile communications and health technology.
Work at European Patent Office
Pau Montes has been employed at the European Patent Office (EPO) since 2007. Initially serving as a Patent Examiner for 17 years, he transitioned to the role of Project Manager for Machine Translation in 2020. In this capacity, he manages the machine learning IT infrastructure, which includes generating and maintaining training data sets, training machine translation models, and performing inference. His responsibilities also encompass the design of domain-specific translation engines and the quality evaluation of machine translation models.
Education and Expertise
Pau Montes holds a Doktor (Ph.D.) in Scientific Computing from Ruprecht-Karls-Universität Heidelberg, where he studied from 2003 to 2006. He also earned a Master's degree in Telecommunications Engineering from Universitat Politècnica de València (UPV), completing his studies from 1994 to 1999. Additionally, he studied at Friedrich-Alexander-Universität Erlangen-Nürnberg for one year in 1998, and he completed internships at Siemens Healthineers and MINES ParisTech, gaining practical experience in the field.
Previous Work Experience
Before his tenure at the European Patent Office, Pau Montes worked as a Mobile Communications Engineer at Orange for one year in Paris, Île-de-France, from 2001 to 2002. He also completed an internship at Siemens Healthineers in 1999 for seven months in Forchheim, Bayern, and another internship at MINES ParisTech in 2000 for six months in Fontainebleau, Île-de-France. These roles contributed to his expertise in telecommunications and engineering.
Machine Translation Development
In his current role as Project Manager for Machine Translation at the European Patent Office, Pau Montes has developed a machine translation system specifically tailored for patent language. This system utilizes transformer neural machine translation (NMT) models, showcasing his focus on enhancing the accuracy and efficiency of translation processes within the patent domain.