About

I'm a Geo Data Scientist based in Berlin, currently finishing my M.Sc. in Geoinformation at BHT Berlin (GPA 1.15). I studied Urban Planning at TU Berlin before that. Working with cities and infrastructure is what drew me to geospatial data. Day to day, that means training ML and deep learning models on satellite imagery, building geospatial analysis pipelines, and developing open-source tools. Context Engineering and agentic systems are a second focus: structuring AI-assisted development and integrating LLMs into analysis workflows.

Experience

Data Analytics

Interzero Plastics Sorting GmbH

2025–present

KPI automation on industrial plant data (Python, SQL). Migrated manual Excel workflows to reproducible, SQL-based analysis pipelines.

Construction Management

Büro Tacke e.K.

2023–2025

AI-powered database maintenance, GIS-based analyses for funding applications, project oversight for a sustainable housing development (51 units, €11.5M).

Location Development

LOKATION:S

2022–2023

GIS-based site and market analysis for municipal and private stakeholders. Analytical reports, maps, and visualizations for strategic decisions.

Project Development

KlimaGut AG

2021–2022

Real estate database management, GIS-based site analysis with direct impact on investment decisions.

Education

M.Sc. Geoinformation

BHT Berlin

2024–2026 (expected)
GPA 1.15

Focus: Geoinformatics, Remote Sensing, Spatial Data Science

Thesis (planned): Urban Heat Islands. Remote Sensing, ML, Cloud Infrastructure

B.Sc. Urban & Regional Planning

TU Berlin

2020–2024
GPA 1.6

Thesis: "Hidden Champions in Large Cities: A Web-Data-Based Investigation Using Berlin as a Case Study" (Grade: 1.2)

Skills

Geospatial Data Science

Machine learning and deep learning on satellite imagery and geodata. Remote sensing, spatial analysis, transfer learning, time series analysis. End-to-end pipelines from raw data to trained models.

  • Python
  • SQL
  • PyTorch
  • scikit-learn
  • Google Earth Engine
  • PostGIS
  • QGIS

AI & Automation

Context Engineering, agentic systems, RAG pipelines, prompt engineering. LLM-based tooling for development, analysis, and workflow automation.

  • LangChain
  • LangGraph
  • LiteLLM
  • n8n
  • Notion

AI-Assisted Development

AI coding tools as core part of the development workflow. Structured handoff documents, prompt pipelines, reproducible project context.

  • Claude Code
  • OpenCode
  • Codex

Infrastructure & Tooling

Cloud infrastructure, pipeline orchestration, API development, containerization.

  • GCP
  • PostgreSQL
  • FastAPI
  • Docker
  • Git/GitHub
  • Linux
  • Prefect
  • MLflow

Languages

German (native), English (fluent)