Hemmingen, Lower Saxony, Germany
- Collected and analyzed requirements from key stakeholders in engineering and acquisition addressing critical use cases for portfolio management and customer delivery - Evaluated existing Business Unit-specific solutions to determine reusability and alignment with the new paradigm - Spearheaded the holistic concept for the organization’s asset management infrastructure, integrating agentic AI solutions alongside DevOps and Reference Architectures - Managed the end-to-end lifecycle of the Warehouse MVP, from stakeholder identification to technical documentation and implementation planning - Designed and implemented custom MCP servers to expose architectural assets and technical documentation as discoverable tools for Agentic AI, reducing asset discovery time
- Researched and evaluated new developments in synthetic data to enhance the training of ML perception algorithms and the testing of ADAS software. - Collaborated with engineers, product owners, and project leads to identify and document technical requirements for specific internal use cases. - Organized company-wide workshops and knowledge-sharing sessions to align stakeholders and identify shared development opportunities. - Streamlined communication between business units to improve information flow and promote the reuse of ML-related assets and insights.
- Coordinated R&D Engineers across multiple teams to demonstrate infrastructure-based automated maneuvers on a closed test track with an automated vehicle - Containerized and deployed pre-existing embedded software components to a cloud based environment (ROS 1 and 2, Docker, Python, C++) - Developed algorithmic code for 3D object detection and localization from monocular camera images, as well as for point cloud data processing for a Structure From Motion pipeline - Participated in standardization work for Vehicle-to-Vehicle and Vehicle-to-Infrastructure communication (ETSI, Maneuver Coordination Service) - Filed multiple patents related to automated driving and infrastructure systems - Supervised a master thesis on automated infrastructure Lidar calibration from map data from March to September 2022
Developed an automated valet parking solution as a C++ developer in an agile team. • Adapted the in-house automated driving software solution to the valet parking use case • Prepared a demonstrator car for presenting the solution to potential clients
Contributed to the in-house automotive embedded navigation software as a C++ developer in an agile team