Jannes Münse
Senior Software Developer at CHECK24 Vergleichsportal GmbH
Hamburg, Germany
Summary
🤩
Rockstar🎓
Top SchoolJannes Münse is a pragmatic full‑stack software developer with 11 years of experience, currently improving developer experience and building MCP servers at CHECK24 while also working at Consid in Hamburg. He combines a strong focus on clean architecture and SOLID principles with hands‑on delivery across apps, games and automation—always aiming to streamline processes and reduce repetitive clicks. His background includes maintaining enterprise ERP/CRM systems, varied full‑stack roles at it‑economics, and a dual study in applied computer science with a software engineering semester abroad. An active contributor to spatial data science tooling, he has commits in the well‑known "Geocomputation with R" project producing visualizations and analyses, reflecting an interest in data-driven solutions beyond typical web stacks. Colleagues describe him as a continuous learner who treats stagnation as a non‑feature.
11 years of coding experience
8 years of employment as a software developer
Semester abroad - Softwareengeneering, Semester abroad - Softwareengeneering at University of NewcastleBachelor of Science - BS, Applied computer science, Bachelor of Science - BS, Applied computer science at Fachhochschule Nordakademie Elmshorn
Github Skills (9)
statistical-models10
r10
ggplot9
machine-learning9
data-visualization9
data-visualisation9
sfx9
sfc9
data-visualizations9
Programming languages (7)
Github contributions (5)
geocompx/geocompr
Jun 2017 - Jan 2023
Geocomputation with R: an open source book
Role in this project:
Data Scientist
Data ScientistContributions:68 reviews, 1491 commits, 90 PRs in 5 years 7 months
Contributions summary:Jannes contributed to the development of a spatial data science book, "Geocomputation with R." Their work primarily involved creating and modifying code related to visualizations and analyses of spatial data. The user's commits included the generation of figures for teaching concepts and working with spatial data analysis techniques such as Non-metric multidimensional scaling, and random forest.
geospatialgeocomputationgeorasterrspatial
giscience-fsu/daad_summerschool
Jul 2019 - Sep 2019
Lectures & scripts for the international summer school on geospatial data science with R
Contributions:55 commits, 21 pushes in 1 month
summer-schoolgeospatialsciencedata-sciencerstats
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