Software Engineering Student · Data Pipelines · LLMs & Automation · Open to Work
Software Engineering student at the University of Europe for Applied Sciences, Potsdam.
I build end-to-end data pipelines with Python & SQL, automate real-world workflows with n8n,
and build LLM-powered applications and automation workflows to explore what's possible.
Focused on writing clean, production-quality code — and always building something new.
- I'm currently working on data pipelines, LLM-powered apps, and automation workflows.
- I'm striving to learn new things every day.
- Ask me about Python, automation, or AI tools — feel free to reach out via email!
- Fun fact: I really love turtles!
 
A lightweight macOS system cleaner and maintenance tool written entirely in Bash — no dependencies, no installs. Clears system caches, removes junk files, frees up disk space, and runs health checks, all from a single interactive terminal script. Built for speed, transparency, and full user control. |
 
A full-stack meeting transcript analyzer built with FastAPI and React. Upload PDFs, DOCX, or plain text and get back an executive summary, action items, key decisions, and participant insights. Supports OpenAI, Anthropic, and local Ollama models — with persistent history via SQLite. |
 
An automated daily digest that scrapes, filters, and summarizes the latest AI and tech news using a local LLM via Ollama. Cuts through the noise to surface what actually matters — delivered as a clean, readable report without sending your data to any external API. |
 
A production-style, end-to-end 4-phase data pipeline that ingests, cleans, and analyzes 105K+ retail records. Performs statistical anomaly detection and KPI root cause analysis to identify underperforming segments — complete with automated reporting and reproducible data quality checks. |
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| Databases |
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| Cloud & Infrastructure |
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| AI & Automation |
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| Systems & Security |
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| Software Development |
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