Hi there! I'm Matthias, a Big Data student. While my studies emphasize data analysis and machine learning techniques, I am particularly passionate about data engineering and building scalable systems.

Currently, I’m working on my master’s thesis in the field of MLOps, focusing on automating and optimizing workflows for training, deploying, and maintaining machine learning models. Privately, I spend my time honing my skills in data engineering, cloud computing (AWS), and technologies C++ to expand my capabilities and flexibility in software development.

• Programming Languages: Python, learning C++
• Frameworks and Tools: Kafka, Docker, Mlflow, learning Apache tools
• Cloud: learning AWS

• Master's Thesis: Project for satellite image segmentation using neural networks.

• Banking App: Modular banking system
• api_project: A project utilizing FastAPI for creating endpoints that produce and consume data from Kafka topics.

• Quantum Phish Detector: A quantum machine learning project

• Gain hands-on experience as a Data Engineer.
• Build scalable ETL systems using modern tools.
• Master AWS and develop cloud-based projects.
• Learning programming languages which are used in modern Big Data