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

Education

Visiting Ph.D.
Jan 2024 -
Jun 2024
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 –
Dec 2024
Nvidia, Software Robotics Group
Research on 3D reconstruction for digital twin generation for simulation purposes in the robotics environment.
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 “