- Project and technical management of software solutions for a student autonomous rover team.

- Member of the space robotics team in the WARR student initiative at TUM- Responsible for the motion and robotic arm control systems of the CRATER Mars rover project- The main goal of the CRATER project is to design a robotic rover capable of autonomous functions such as navigation, soil sampling, and maintenance tasks to compete in international competitions

Contributing to the EDGAR autonomous vehicle project by developing dataset processing and labeling pipelines

- Simulation of quantum circuits using conventional computers can lead to an exponential growth of memory requirement based on Qubit count. One idea to mitigate this problem is to use efficient data structures, such as matrix decision diagrams, that can leverage data redundancies to offer compression without sacrificing computational complexity.- Continuing an earlier course project, I worked on further memory optimization by adding new redundant pattern detection to the Munich Quantum Toolkit C++ library for quantum circuit simulation at the chair for design automation- This work utilized modern C++ conventions such as operator overloading and pointer manipulation for the direct storage of data (unused pointer bits)

- Software development for efficient and robust analysis of 3D laser scanner (LiDAR) data to discover sources of object detection inaccuracy- Proposed and evaluated alternative object detection methods using a clustering approach that reduced false positive rates by up to 60%

Taught programming in C and Assembly alongside fundamentals of computer architecture in the ComputerTechnology and Programming course