Summary
Francesco Melchiori is a Data Engineer with nine years of experience applying signal processing and machine learning to diagnostics, automation and geomatics. He has blended research-grade ML from neuroscience and academic training with practical product work—shaping visual monitoring and automation tools at Würth Phoenix and driving geomatic pipelines and real-estate modelling at SpazioDati. Currently he focuses on public administration digitization and PNRR implementation at Provincia Autonoma di Trento, simplifying complex procedures through data-driven solutions. His technical toolkit spans Python, C/C++, OpenCV, OCR, GIS/PostGIS, SQL and production monitoring stacks, reflecting a career that moves seamlessly from sensors and multisensor scanners to scalable software. Colleagues describe him as a pragmatic engineer who turns signal-level insights into operational systems across Europe. He is based in Trentino–Alto Adige and brings a rare combination of telecoms engineering foundations and hands-on product delivery.
9 years of coding experience
4 years of employment as a software developer
Erasmus Programme, Computer Science, Erasmus Programme, Computer Science at Royal Holloway, University of London
M.Sc., Telecommunications Engineering, M.Sc., Telecommunications Engineering at Università degli Studi di Trento
Ph.D. Summer School in Machine Learning, Ph.D. Summer School in Machine Learning at Technical University of Denmark
Italian, English