Research Scientist | Climate Data Engineer | Research Software Engineer | Linux Enthusiast
I build reproducible, data-intensive software for climate and environmental research.
From scientific pipelines to production-ready web platforms.
Garden
I work at the intersection of climate science, geospatial analytics, and software engineering. I focus on building reliable tools that help teams process data, publish insights, and collaborate effectively.
| Focus area | What I deliver |
|---|---|
| Scientific software | Full-stack applications for climate and Earth system research |
| Data engineering | Reproducible pipelines for large geospatial and NetCDF datasets |
| Platform engineering | Typed APIs, maintainable codebases, and documented workflows |
| Linux system administration | Reproducible, maintainable systems from workstations to HPC |
| Collaboration | Clear communication across research, engineering, and stakeholder teams |
- Chief Scientific Officer at Alganize GmbH
- Researcher and lecturer at Technische Universitat Berlin and Freie Universitat Berlin
- Improving MaRESS extraction and exploration and adding workflows geospatial web tools for Earth system science
- Extending Alganizes AI infrastructure for scalable soil data analysis
- Improving UCO Berlin data pipelines and for urban climate data access and visualization
- Strengthening reproducible engineering setups across repositories with flakes (personal)
| Project | Why it matters | Core stack |
|---|---|---|
| MaRESS | Enables map and graph exploration of Earth system publications and study sites for faster research discovery | Vue 3, TypeScript, FastAPI, PostgreSQL/PostGIS, Celery, Redis, OpenLayers, Cytoscape.js |
| UC2 data exchange platform (dms_frontend, DMS_backend) | Delivers shared data exchange and management for large climate model datasets across all UC2 project partners | Vue/Nuxt, Python backend services, APIs, NetCDF climate data workflows |
| UCO Berlin | Provides partner-facing urban climate access and visualization to improve data communication and collaboration | Geospatial web tooling, climate data pipelines, platform engineering |
| ATTRICI | Implements reproducible counterfactual climate workflows for impact attribution and method transparency | Python, probabilistic modeling, climate time-series analysis |
| darwin | Turns GAR and DARWIN model outputs into robust, analysis-ready climate data workflows | Python, xarray, salem, scientific data processing |
| benrlschmidt.de (repo) | Presents a multilingual, structured research profile for publications, projects, and professional outreach | Vue 3, TypeScript, Vuetify, Vite, i18n |
| Repo | Why it matters | Core stack |
|---|---|---|
| nvim | Standardizes a portable Neovim workflow across local, remote, and HPC development | Lua, LSP, testing/debug tooling, Nix-aware setup |
| flakes | Keeps environments reproducible and maintainable with modular Nix architecture | Nix, Home Manager, overlays, secret management |
- Website: benrlschmidt.de
- ORCID: 0000-0002-9669-3360
- Google Scholar: Profile
- LinkedIn: dr-benjamin-schmidt
- PhD thesis: Regional Dynamical Downscaling and Analysis of Water Balance Across Different Regions and Time Scales
- Email: benjamin.schmidt@tu-berlin.de
- GitHub: @benatouba
If you are hiring for research software, scientific data platforms, or climate data engineering, I would be glad to connect.