IT Engineer · Munich
Building intelligent systems, end to end.
I work across machine learning, computer vision, and cloud infrastructure — bridging the gap between research prototypes and production systems. Currently at the Chair for Mathematical Foundations of AI at LMU Munich, where I run the infrastructure behind the department's research.
Background
I hold a Master's in Applied Computer Science from SRH University Heidelberg and spent close to a year at AWS working on network infrastructure at scale. Before moving to Germany, I co-founded a student developer community, competed in national hackathons, and spoke at technical events — I like sharing what I learn as much as building.
Selected projects
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Deep learning app that identifies plant diseases from leaf and fruit images, trained on agricultural datasets.
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Real-time traffic analysis that counts vehicles per lane and adapts signal timings accordingly.
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Eigenface-based recognition from a live webcam feed — pure linear algebra, no ML frameworks.
Skills
- Languages
- Python, JavaScript, Java, C/C++, PHP
- ML & vision
- TensorFlow, OpenCV, NumPy, CNNs
- Web
- React, Node.js, Flask, Django, GraphQL
- Cloud & infra
- AWS, GCP, Docker, Linux
- Data
- MongoDB, MySQL, Redis
- Hardware
- Raspberry Pi, Arduino, embedded systems