Geo Data Scientist ยท AI Engineer
M.Sc. Geoinformation student at BHT Berlin. Building geospatial ML systems and AI tooling.
Machine learning and deep learning on satellite imagery and geodata. End-to-end pipelines from raw data to trained models, with a focus on reproducibility and evaluation.
Context Engineering, agentic workflows, and LLM-based tooling. I build structured prompt systems, automated pipelines, and integrate AI into development and analysis workflows.
Python CLI tools and web applications on PyPI and GitHub. Built to solve real problems in my own work, released for others to use.
Core tools and platforms used across geospatial analysis, machine learning, and production workflows.
Selected projects that represent core strengths across geospatial ML and AI tooling.
Automated literature search from a research question to a curated, deduplicated source set.
Open-source CLI for automated literature research. From research question to curated paper set with report and BibTeX export. Published on PyPI.
Cross-city transfer of urban tree genus classification. Can a model trained in Berlin classify trees in Leipzig?
Cross-city transfer of tree species classification using Sentinel-2. End-to-end ML pipeline with spatial block CV across Berlin and Leipzig.
Structured context layer for AI-assisted development. Reusable commands, controlled prompts, persistent session memory.
Reproducible framework for AI-assisted coding with OpenCode. Custom commands, skills, prompt pipelines, and project templates.
M.Sc. Geoinformation student at BHT Berlin. Open for freelance projects, collaborations, and roles in Geo Data Science or AI Engineering.
Based in Berlin.