Matthias Hinz is an AI engineer and geoinformatics specialist with 12 years of experience building WebGIS, decision support systems, and reproducible research tooling using Python, Java, R and Docker. He has driven R&D projects in hydrography and coastal science at German research institutes and now applies ML/AI methods in the subsea domain at Subsea Europe Services. His work blends academic rigor—developing tools like the containerit R package and Web Processing Service modules—with practical delivery of web-based spatial decision systems and open-data teaching platforms. Based in Mecklenburg-Vorpommern, he combines domain expertise in GIS and hydrography with a persistent focus on reproducibility and collaborative research software engineering.
13 years of coding experience
Master of Science (MSc), Geoinformatics, Master of Science (MSc), Geoinformatics at University of Münster
Studies abroad (ERASMUS) in context of the research projects ERMES and GIN-2K with the GEOTEC research group (geotec.uji.es/): I contributed to the development of a Web-GIS for the European rice-farming sector and I worked with HTML, JavaScript (e.g. d3.js) and ArcGIS Server among others (see ermes.dlsi.uji.es/), Studies abroad (ERASMUS) in context of the research projects ERMES and GIN-2K with the GEOTEC research group (geotec.uji.es/): I contributed to the development of a Web-GIS for the European rice-farming sector and I worked with HTML, JavaScript (e.g. d3.js) and ArcGIS Server among others (see ermes.dlsi.uji.es/) at Universitat Jaume I
Package an R workspace and all dependencies as a Docker container
Contributions:2 PRs, 44 pushes, 2 branches in 3 years 9 months
dependenciesworkspacedockerdocker-container
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