Stefano Garcia

Stefano Garcia is a skilled language engineer at M47 Labs, where work focuses on developing innovative Personal Voice Assistant software for a major client, utilizing Machine Learning and Natural Language Processing to enhance language adaptability. Previously, at Deutsche Welle, Stefano played a key role in a team that developed a robust Transformer model for gender prediction in names with significant performance improvements. At KU Leuven, graduate training involved creating Python pipelines for the analysis of satellite images, achieving a 50% increase in precision through advanced techniques. As a Research Fellow at Universidade do Porto, Stefano developed a user-friendly GUI that notably improved workflow efficiency in stellar model modifications. An academic background includes a Master’s degree in Astrophysics from Universität Innsbruck and a Bachelor's degree in Astronomy from Pontificia Universidad Católica de Chile, complemented by experience as a teaching assistant in various undergraduate courses.