Data Science · ML Engineering · Edge AI

Hands-on experience in Computer Vision, NLP, and Edge AI deployment. I build end-to-end ML systems: from data pipelines and model training to latency-optimized inference on mobile hardware.

Degree in M.Sc. in Big Data & Business Analytics (FOM Cologne, GPA 1.9), where I developed a real-time obstacle detection app for visually impaired people, which is running fully on-device with YOLOv8 + ONNX Runtime, no cloud required.

My background in international enterprise environments (DSV Global Transport & Logistics, Ericsson) brings a rare combination of ML engineering depth and business context.

YOLOv8n · ONNX Runtime · OpenCV · Android / Kotlin · Edge AI · TTS

Android app for cloud-free real-time obstacle detection — designed to assist visually impaired people navigating urban environments. Full processing pipeline from camera input → ONNX inference → prioritization logic → TTS audio output. Evaluated in 3 real urban scenarios on commodity hardware. No internet connection required.

PyTorch · Hugging Face Transformers · DistilRoBERTa · Scikit-learn · TF-IDF · NLP

Fine-tuned a pretrained DistilRoBERTa model for misinformation classification on unstructured text data. Systematic model comparison: Transformer vs. custom SVM/TF-IDF classifier. Full evaluation across Accuracy, Precision, Recall, and F1.

Python · TensorFlow/Keras · Scikit-learn · Pandas · Statsmodels · Time Series

Analysis and modeling of BTC and ETH price time series (2014–2024). Full data pipeline, feature engineering, statistical correlation analysis, and visualization. Model comparison: LSTM vs. Random Forest.

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