Summary
Francisco Silva is a Chile-based software architect and research leader with more than a decade of delivering complex web and data systems. He currently heads Research Projects at the Biblioteca del Congreso Nacional, where he leads semantic web, data science, and machine learning efforts and guides XML markup and RDF extraction initiatives. Previously, he designed and managed software architecture at the Library of Congress of Chile, focusing on semantic web and XML standards, and he serves as a technology advisor to the Judiciary on text mining and as an advisor to the Senate and Chamber of Deputies for Akoma Ntoso implementations. He blends academia and industry as a lecturer at Universidad de La Frontera and as the founder/freelancer across multiple tech domains, from big data and SOA to web applications. He holds a PhD in Computer Science (cum laude) from the University of Oviedo, a Master in Web Engineering, a Specialist Diploma in Big Data & Data Science, and a Diploma in Statistics, underscoring a strong research-to-delivery orientation. His leadership and hands-on breadth span Java/JEE, Hadoop/Spark, RDF/OWL, SPARQL, Angular, and Python across public sector projects, making him adept at turning complex requirements into auditable, scalable solutions.
12 years of coding experience
12 years of employment as a software developer
PhD in Computer Science, A - Cum Laude, PhD in Computer Science, A - Cum Laude at Universidad de Oviedo
Visiting Research Scholar, Computer Science, Visiting Research Scholar, Computer Science at Universidad Técnica Federico Santa María
Computer Science Engineer, Computer Science Engineer at Universidad de la Frontera
Diploma in Statistics, MATHEMATICS AND STATISTICS, Diploma in Statistics, MATHEMATICS AND STATISTICS at Pontificia Universidad Católica de Chile
Certified Associated Project Manager, Gestión de proyectos, Certified Associated Project Manager, Gestión de proyectos at Project Management Association Chile
Specialist Diploma in Big Data & Data Science, Specialist Diploma in Big Data & Data Science at Pontificia Universidad Católica de Valparaíso