I'm a Computer Science student at the University of Würzburg with a focus on data science and machine learning. I enjoy exploring datasets, identifying patterns and turning raw data into clear and meaningful insights. My experience so far has mainly been in data analysis, visualisation and the evaluation of machine learning models. I’m especially interested in examining data and model results, understanding the patterns behind them and drawing conclusions that can be applied to real-world questions. My interest in data also extends into my everyday life, where I track information related to sleep, physical activity, nutrition and mental well-being, using it as a way to reflect on my habits and make more conscious decisions. I mainly work with Python and tools such as pandas, NumPy, Matplotlib, scikit-learn and PyTorch, and I'm always looking for new ways to deepen my understanding through practical projects.
Where I've studied so far - a look at my academic path
Business Administration with a focus on Corporate Functions. Switched fields without completing the degree.
Foundations in algorithms, systems, and the underlying mathematics. Three semesters before transferring out of Munich.
Continued the degree after transferring from LMU Munich.
Currently hereWhere I've spent time so far and what i've been doing
Migrated the legacy onboarding PowerShell script from AzureAD to MgGraph, then built an internal Onboarding App in Python around the migrated logic. Day-to-day: general IT support, firewall and GitLab updates, and managing virtual machines.
The languages, tools, and frameworks I work with
A selection of different projects using different languages and tools
A JetBrains IDE plugin that opens medical imaging volumes (NIfTI, NRRD, FreeSurfer and more) right inside IntelliJ, PyCharm or CLion — multiplanar slices plus an interactive 3D render. A Kotlin plugin streams the volumes into an embedded Chromium running the NiiVue WebGL2 viewer.
A web app that scrapes the daily menu of the Würzburg Mensa Campus Hubland Süd and ranks each dish by its macros — sort by protein, calories, carbs, fat and more, filter by vegan/vegetarian/meat, and browse the week. A Python FastAPI scraper with a daily in-memory cache feeds a vanilla JS frontend, hosted on alwaysdata.
A small command-line tool in Rust that fetches the current weather for any city via the Open-Meteo API — no API key required. Handles city and country lookup, Celsius/Fahrenheit, and case-insensitive input.
Small interactive demos compiled to WebAssembly
Have a project in mind, or just want to say hi? I'm always open to discussing new opportunities and creative ideas
Or reach me by any of these.