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.
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.
| Area | Tools |
|---|---|
| ML & AI | PyTorch · TensorFlow/Keras · Scikit-learn · Hugging Face Transformers · YOLOv8 |
| Computer Vision & Edge AI | OpenCV · ONNX Runtime · Android / Edge Deployment |
| Data & Analysis | Python (Pandas, NumPy, Statsmodels) · SQL · Matplotlib · Seaborn · Power BI |
| Cloud & Platforms | Microsoft Azure · Databricks · Git |
| Certifications | Azure Fundamentals AZ-900 · Databricks Fundamentals |
🇩🇪 Deutsch (Muttersprache) · 🇬🇧 English (Professional) · 🇷🇺 Русский (Muttersprache)