Computer Science student at RPTU Kaiserslautern, focused on the intersection of Machine Learning, MLOps and Data Engineering.
I enjoy building ML systems beyond the model itself — from data pipelines and performance-oriented infrastructure to practical real-world applications.
My long-term goal is to work at the intersection of technology, data and business, helping turn machine-learning opportunities into useful solutions.
A lightweight experimental PyTorch data-loading library developed during my Bachelor Project at DFKI.
The project explores efficient Parquet-backed image loading, concurrent data pipelines, performance profiling and benchmarking against PyTorch's native DataLoader.
Tech: Python · PyTorch · Parquet · Concurrency · Performance Engineering · SLURM
View project · Food-101 external benchmark
A real-time computer-vision application using YOLOv8 and OpenCV for object detection and monitoring.
Tech: Python · YOLOv8 · OpenCV · Computer Vision
- B.Sc. Computer Science — RPTU Kaiserslautern
- Bachelor Project — DFKI
- Focus: Machine Learning · MLOps · Data Engineering
- Long-term direction: Machine Learning Consulting
Python · PyTorch · Pandas · Scikit-learn · Docker · Git · Linux · SLURM
I like understanding technical problems deeply, measuring what actually works, and translating that into practical solutions.