My name is Martin and I have been fascinated by the world of computers since my childhood. Early on, I started developing my own games, and this passion has stayed with me to this day. I am now deeply involved in topics such as neural networks and machine learning, and have gained extensive experience in various programming languages. For example, I have extensive knowledge in Java and Python, the latter of which I also use in conjunction with Keras and Tensorflow. Additionally, I am familiar with C++, C#, and the Unreal Engine. Overall, I have a broad range of skills and competencies in software development. I am convinced that my passion and experience can help me realize even larger projects and find innovative solutions in the future. Therefore, I look forward to further expanding my knowledge in this area and taking on new challenges.

Currently, I work as a working student at ipoque, a subsidiary of Rohde & Schwarz, in the field of Deep Packet Inspection (DPI). I develop high-performance solutions in C for analyzing and processing network traffic at the packet level. A central part of my work is analyzing network traces to identify patterns and protocols. This allows me to accurately classify new applications and services and add them to the existing detection. The job allows me to further develop my skills in low-level programming, network protocols, and performance optimization. Due to an NDA, I cannot share further details about the projects, but the experience is an exciting challenge for me.