2025 — Present
Working Student, ML Engineer · Charité
Development of a PyTorch pipeline for clinical respiratory-audio classification, including preprocessing, cross-validation, architecture comparison and reproducible HPC workflows.
About
I am a computer-science master's student and machine-learning engineer based in Berlin. My work sits between applied ML, software engineering and human–computer interaction.
I am drawn to projects that combine technical depth with a clear real-world purpose.
At Charité, I currently work on respiratory-audio classification. Alongside this, I develop open-source tools and full-stack AI applications.
Education
- M.Sc. Computer Science · Freie Universität Berlin · 2024 — Present
- B.Sc. Human-Computer Interaction · University of Hamburg · 2021 — 2024
Experience
2024 — 2025
Research Assistant, Machine Learning · University of Hamburg
Work on unsupervised and semi-supervised anomaly detection, together with a frontend interface and Python ML backend for industrial inspection.
2016 — 2025
Marketing & AI Automation · Italian–German consultancy
Bilingual marketing (German & Italian) for an economic consultancy working across both markets, later extended with internal graphics tooling and an AI-assisted content-production workflow.
Selected projects
Open-source developer tool
WizardFlow
A small Python SDK and client-side viewer for recording, replaying and inspecting AI-agent runs as messages moving through a graph. Traces are plain JSONL files; no account or server is required.
Full-stack AI application
cs-modulio
An AI study consultant for computer-science students at Freie Universität Berlin. It answers questions from local documents, presents course information and checks proposed study plans against deterministic degree rules.
Advisory only; official university documents remain authoritative.
GitHub
Independent continuation
Emergency-care dashboard
A doctor-facing demonstration for reviewing structured intake data, AI-assisted triage suggestions and subsequent clinician decisions. It is not a deployed medical product or medical device.
Built as an independent continuation of a university group project on patient intake.
