My name is Martin, and I have been passionate about computers since childhood. Initially, my focus was on neural networks and machine learning, especially working with Python, TensorFlow, and Keras. Over time, my interests have shifted more toward low-level programming and hardware-oriented development. I work extensively with C++, focusing on performance optimization, memory management, and systems-level software development. Additionally, my professional experience has allowed me to gain deep knowledge of C, particularly in building high-performance, memory-efficient solutions for Deep Packet Inspection. I am convinced that my diverse skill set and strong technical expertise enable me to tackle complex challenges and develop innovative solutions. My goal is to further expand these capabilities and work on demanding, cutting-edge projects.

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.