Fabian Nobis

Developing computer vision and audio based AI systems, mainly in the maintenance domain. I cover the whole life cycle - from first evaluations to scalable deployments in the cloud or on fleets of edge devices. I care a lot about making AI development and production usage workflows more efficient and automated. Some highlights include: - Predictive Maintenance via audio analysis on fleet of edge devices. - Computer Vision: Various deep-learning based usecases - Lead development of internal MLOps tooling

In this position I was heavily involved in the autonomous driving domain (more precisely the virtual testing and verification branch), doing a mix of product engineering, research projects with German car manufacturers and Data Science projects. Examples include: - Building ETL pipelines for an OEM to analyze test vehicle fleet data using a diverse set of machine learning methods - Co-development of Python based commercial test automation and data analysis tool for testing autonomous driving functions

Final thesis at Airbus Group Innovations - Industrial research on the damages of lightning strikes on modern aeroplanes.

Specialized in Aircraft Engineering. Master thesis at Airbus Research in Munich on simulating the damage of lightning strikes on carbon aircraft skins.