Summary
Colvert Rubio is a geomatics engineer and MSc in Geospatial Information Science with eight years’ experience applying remote sensing, surveying and Python automation to mining and environmental projects. He has developed and operationalized GOES-16/ABI hotspot-detection algorithms and scripts for server-side deployment, combining image processing expertise with Linux-based automation. In the mining sector he has led GNSS, total station and laser scanner surveys for interior-mine and surface works, including stakeout and excavation volume calculations. Comfortable moving between research labs and field operations, he bridges academic algorithm development with practical, safety-critical engineering on site. Based in Mexico City, he brings a hands-on blend of programming, geospatial analysis and surveying supervision that speeds deployment from prototype to production. A quietly notable strength is his repeated role translating satellite-algorithm research into repeatable, automated workflows used by operational teams.
8 years of coding experience
Universidad Nacional Autónoma de México (UNAM)
Maestría, Ciencias de Información Geoespacial, Maestría, Ciencias de Información Geoespacial at Centro de Investigación en Ciencias de Información Geoespacial, A.C.