Autonomous Driving at the chair of Prof. Zöllner on Applied Technical-Cognitive Systems, Institute of Applied Informatics and Formal Description MethodsResearch:- Geometric deep learning / graph neural networks (GNN) for clustering and synthetic generation of "long-tail" traffic scenarios in the context of scenario-based testingTeaching:- Introduction to Programming with Java- Advanced Programming - Java Network Programming- Machine Learning 2 - Advanced methods (GNN lecture)Misc:- System administration of Linux GPU workstations at our chair

Software architecture, design and implementation of a web platform and accompanying data processing pipeline for analytics and visualization of satellite imagery and related geospatial / GIS data. Data engineering, full-stack web development and ops. Technical project management and leadership of Orbio's dev team.

Full-stack web development and operations of multiple B2B software projects in the field of transportation, logistics and smart city. Project management for the implementation of a machine control and -analytics application in the context of industrial manufacturing.

Master's Thesis in the field of Cooperative Perception and Cellular Vehicle-2-X Communication for Autonomous Driving at https://itiv.kit.edu

Development of live analyses and KPIs for large-scale robotics data and their integration into a customer-facing, web-based analytics software suite.

Design, full-stack development and maintenance of a distributed, cloud-based management- and learning platform for large-scale vehicle data.

Design, full-stack development and operations of an internal web-based business planning- and forecasting tool suite.

Bachelor's Thesis in the field of Industry 4.0: "Design of a Linked Data-enabled Microservice Platform for the Industrial Internet of Things" @ https://teco.edu