Engineer, Digital Factory Planning and Process Optimization

Dedicated Engineer focused on digital factory planning, process optimization, and software quality assurance. With experience in the automotive industry and industrial engineering, they bring profound knowledge in the analysis and optimization of production processes, as well as in the development and implementation of software solutions. Their expertise includes working with virtual assembly planning, AI assistants, and data models for the digital factory. They are proficient in using tools such as Python, MATLAB, Simulink, CATIA V5, Power BI, and Jira.

Analysis of time changes in vehicle projects using Power BI and KNIME for process optimization in Industrial Engineering; Creation of 3D datasets for internal and external customers using CATIA V5 and Teamcenter in virtual assembly planning; Support in the development of an AI assistant for virtual factory planning with NVIDIA Omniverse and Python; Coordination of new feature implementation with Azure DevOps and Agile Methodology as Product Owner; Collaboration in the implementation of SAP B1 solutions and realization of customer requirements in a consulting environment; Development of a data model for digital factory planning, as well as data extraction and visualization with Python and NVIDIA Omniverse; Execution of end-to-end app tests using Jira and Confluence for quality assurance