Nicolás Estévez

Civil Computer Engineer from the Pontificia Universidad Católica de Chile, currently pursuing a Master’s degree in Computer Science at the same institution. His main areas of interest are Artificial Intelligence, data analysis, and backend development, with skills in the design and implementation of automated systems, application of machine learning and deep learning models, and API development.

He has worked developing automation and Artificial Intelligence solutions for media analysis, implementing web scraping systems, automatic transcription, facial recognition, and semantic analysis. He is currently at the Millennium Institute for Foundational Research on Data (IMFD), developing solutions for the extraction and analysis of data from the Chamber of Deputies and the Senate of Chile.