Simon Sudrich

* Development of novel autonomy and assistance features for a fleet of remote driven vehicles * Technical lead of a team for computer vision-based approaches * Work in the full range of the autonomy stack (e.g, data infrastructure, model development, sensor calibration, vehicle control and model deployment and integration)

* Working on autonomous driving and other autonomous systems * Training and maintaining large, continuosly deployed machine learning models * Optimizing machine learning system for efficient use on premise and in the cloud * Focus on Perception and Computer Vision in an automotive context

o Proposing, planning and realizing a research and software project with a budget of 50.000 € o Leading and coordinating a group of 6 research students using agile development methods o Resulted in an open-source data analysis library for graph-based anomaly detection in Python (github.com/sudrich/sf-gad)

o Giving classes to 20 first and second-year students in theoretical Computer Science

Algorithm Engineering and Data Analysis