Below you can find details about my professional experience and my education. Also feel free to download my CV here.

Education

Visiting Ph.D.
Since Jan 2021
Robotics Institute, CMU
Deep Learning-based 2D and 3D Tracking and Object Detection.
Ph.D. candidate
Since Jan 2021
Dynamic Vision and Learning Group, TUM
Deep Learning-based Metric Learning, 2D and 3D Tracking and Object Detection.
M. Sc.
March 2018 -
Nov 2020
Robotics, Cognition and Intelligence, TUM
Master Thesis: “Exploiting Intra-Batch Relations for Image-Retrieval”, Dynamic Vision and Learning Group
B. Sc.
Oct 2014 -
March 2018
Mechanical Engineering, TUM
Bachelor Thesis: “Development of a Concept for Verification of Requirements Fulfillment of Mechatronic Systems“


Professional Experience

Research Intern
Aug 2024 –
Nvidia, Software Robotics Group
Development of 3D reconstructions for simulation purposes.
Research Intern
Feb 2023 –
Nov 2023
Nvidia, Dynamic Vision and Learning Group
Development of semi-supervised 3D Multi-Object Tracking approaches.
Working Student
Feb 2020 –
Aug 2020
Siemens AG, Siemens Corporate Technology
Development of graph convolutional neural networks and graph attention networks for the analysis of engineering data and benchmark datasets
Research Intern
Sep 2019 -
Dec 2019
Continental AG, Future Development
Deep learning-based lane detection, lane modeling, and development of new data augmentation techniques for IPM images “
Working Student
March 2019 -
Aug 2019
Fortiss GmbH, Robotic Group
Research on intention recognition in the industrial environment based on computer vision and deep learning “