ML and geoinformatics
Inferring Map Generalization Operations from User Prompts
Machine-learning workflow linking user prompts to cartographic generalization operations.
- Python
- Scikit-learn
- GeoPandas
Software, data and geospatial systems portfolio
I turn spatial data into software people can use.
I am Amirhossein Donyadidegan, a geoinformatics engineer who combines geographic knowledge with informatics and software engineering.
My work focuses on Python-driven workflows, remote sensing and GIS, dashboards, data products, and structured portfolio evidence across machine learning, data processing, WebGIS, web development, and spatial analysis.
- Location
- Karlsruhe, Baden-Württemberg, Germany
- Last degree
- MSc Geoinformatics Engineering
- Available for
- Junior-level positions Germany-based opportunities Hybrid, remote, or in-person work
- Languages
- English · Fluent German · Intermediate Italian · Intermediate
Target roles
- Junior Software Engineer
- Junior Data Scientist
- Junior Web Developer
- Junior GIS Analyst
- Python Developer
- Geospatial Data Analyst
- WebGIS Developer
- Remote Sensing Analyst
Projects
Evidence across ML, processing, WebGIS, dashboards, and web development.
Each project is framed around the role signal it gives recruiters: engineering, analysis, research, interface work, or applied data science.
Remote sensing toolkit
LandsatToolkit
Reusable Python toolkit for metadata handling, band operations, reprojection, and index workflows.
- Python
- Remote sensing
- Rasterio
WebGIS and spatial ML
AI-Based Landslide Susceptibility Mapping
GIS and machine-learning workflow using terrain, infrastructure, and remote sensing evidence.
- GIS
- WebGIS
- Machine learning
Raster processing
LayerAlterator
Python tool for controlled raster modification with masks, validation, and reusable processing logic.
- Python
- Rasterio
- NumPy
Dashboard
SE4G Geospatial Data Visualization Dashboard
Interactive dashboard combining maps, charts, API integration, and user-driven data inspection.
- Dash
- Plotly
- Flask
Web development
PoliYoga Responsive Web Application
Responsive platform contribution with frontend, UX, database-backed features, profiles, and dynamic content.
- JavaScript
- UX
- Web app
Experience
Junior technical experience across software, data, GIS, and web support.
I turn datasets into analysis-ready layers, model features, dashboards, and documented Python workflows. My experience connects GIS analysis, software engineering habits, data science experiments, web interfaces, and geospatial research support.
Jul 2025 — Mar 2026
GIS & Data Analyst, Research Assistant
- Developed Python-based data pipelines for energy and mobility data processing.
- Performed spatial analyses supporting energy-demand and decarbonization models.
- Built interactive dashboards with map integration for applied research workflows.
Tools: Python, HTML, JavaScript, CSS, dashboards, Git
Jul 2025 — Dec 2025
Web Developer, Research Assistant
- Contributed to web applications with a focus on functionality and usability.
- Supported VR/AR projects for digital and interactive applications.
- Contributed to geospatial visualizations and digital map solutions.
Intern
- Supported surveying, photogrammetry, and GIS projects in a practical work environment.
- Assisted with data collection, spatial analysis, and technical implementation.
- Applied AutoCAD and GIS tools for creating and processing geospatial data.
Technical skills
A practical skill set for geoinformatics, GIS, data science, software, and web roles.
Grouped from the CV into recruiter-readable clusters, with the strongest fit around Python, geospatial data, machine learning, dashboards, and web interfaces.
SPATIAL / EO
GIS and remote sensing analysis
Prepare spatial layers, analyze mobility and energy data, process raster/vector datasets, and communicate results with maps.
Core
GIS & Remote Sensing
- QGIS
- ArcGIS
- Google Earth Engine
- Raster processing
- Vector processing
- CRS transformations
- Spatial joins
- GeoJSON
- Shapefiles
- LiDAR basics
Applied
Geospatial AI & Remote Sensing ML
- Geospatial ML
- Remote sensing ML
- Earth observation analytics
- Spatial modeling
- Satellite data analysis
- Spatial pattern recognition
- GIS-based ML workflows
PYTHON / PROCESSING
Python and software workflows
Build readable scripts, reusable processing steps, Git-based project structure, and documented technical workflows.
Core
Programming
- Python
- OOP
- Package development
- C++
- JavaScript
- SQL
- MATLAB
Core
Data Processing & Engineering
- Data pipelines
- ETL workflows
- Data cleaning
- Pandas
- NumPy
- GeoPandas
- xarray
- Jupyter
MODELS / EVIDENCE
Data science and ML support
Prepare model features, work with vector embeddings, run evaluation loops, and connect ML experiments to domain questions.
Core
Machine Learning & Data Science
- Classification
- Regression
- Clustering
- Feature engineering
- Model validation
- Cross-validation
- Vector embeddings
- MLP
- CNN
- ResNet
- Scikit-learn
- PyTorch
- TensorFlow
Applied
Visualization & Dashboards
- Plotly
- Dash
- Matplotlib
- Interactive dashboards
- Cartographic visualization
- Map-linked views
INTERFACES / DELIVERY
Web, dashboard, and interface work
Support HTML, CSS, JavaScript, dashboard views, and interface elements that make technical outputs easier to inspect.
Applied
Web Development & APIs
- HTML
- CSS
- JavaScript
- Nuxt.js
- Vue
- TypeScript
- Flask
- REST APIs
- JSON
Support
Databases
- PostgreSQL
- PostGIS
- SQLite
- Oracle
- Supabase
Support
DevOps & Software Engineering
- Git
- GitHub
- GitLab
- Linux/Bash
- Docker
- GitHub Actions
- pytest
- Debugging
- Code documentation
Support
Cloud, Automation & Design Tools
- Google Cloud
- Google Sheets API
- Google Drive API
- Scripting
- AutoCAD
- Civil 3D
- Figma
Process
A structured workflow from problem framing to usable technical output.
The same workflow fits GIS analysis, data science experiments, web dashboards, software utilities, and research support.
-
01
Frame
Clarify the role of the data, the user, the decision, and the technical constraints.
-
02
Prepare
Clean, transform, join, document, and structure datasets for analysis or development.
-
03
Build
Develop Python workflows, ML experiments, GIS logic, dashboards, or web interface components.
-
04
Validate
Check outputs with metrics, spatial reasoning, visual inspection, and reproducible tests where useful.
-
05
Deliver
Package the result as documented code, maps, dashboards, model outputs, or clear project evidence.
Education
Academic foundation in geoinformatics, GIS, remote sensing, and surveying.
A path from surveying foundations to geoinformatics specialization, with exchange and research exposure in Germany.
Sep 2023 — Mar 2026
MSc Geoinformatics Engineering
Completed
Grade: 102 / 110, approx. 1.5
Geoinformatics specialization with GIS, machine learning, databases, Earth observation, geospatial data analysis, and geospatial processing.
Thesis: Inferring Map Generalization Operations from User Prompts
University of Bonn Erasmus+ exchange for thesis in geodesy.
Karlsruhe Institute of Technology Erasmus+ exchange for remote sensing and geoinformation courses.
- GIS
- Machine learning
- Databases
- Earth observation
- Geospatial processing
Sep 2018 — Jul 2022
BSc Surveying Engineering
Grade: 16.5 / 20, approx. 1.9
Foundation in surveying, photogrammetry, remote sensing, GIS, geodesy, and spatial analysis.
Thesis: Application of GIS and Big Data in Smart Cities
- Surveying
- Photogrammetry
- Remote sensing
- GIS
- Geodesy
Contact
Open to roles across GIS, software, web, and data work.
Best fit: teams that need careful data handling, readable code, map-aware analysis, and practical dashboard or web outputs.