Working Student at ASML | Computer Science Student at BTU Cottbus-Senftenberg
I'm passionate about Machine Learning, Computer Vision, and Data Science with hands-on experience in developing end-to-end ML pipelines for industrial applications.
- Image Detection & Anomaly Detection Pipelines for semiconductor manufacturing
- Deep Learning Models including autoencoders and custom loss functions
- Data Processing & Visualization for large-scale industrial datasets
- MLOps practices with structured project architectures and configuration management
Languages & Frameworks:
- Python (PyTorch, scikit-learn, OpenCV)
- Data Processing (Pandas, NumPy)
- Visualization (Matplotlib, Plotly)
ML/AI Specialties:
- Computer Vision & Image Processing
- Anomaly Detection Systems
- Model Training & Evaluation Pipelines
- Statistical Analysis & NLP
Tools & Technologies:
- Git/GitHub, Docker
- Jupyter Notebooks
- Configuration Management (YAML)
- Industrial Data Processing
- Advancing Computer Vision applications in semiconductor industry
- Developing robust ML pipelines for production environments
- Exploring Natural Language Processing and Statistical Modeling
- Building scalable data processing workflows
"Building intelligent systems that bridge the gap between research and real-world applications"