Dr. Thomas Nestmeyer

Leading the Parking Image Recognition Team in the Camera Algorithm Department. Disiciplinary lead of 13 employees and technical lead as Product Owner for the Camera Perception Software stack (the SWE ASPICE roles) for the Memory Parking Assist Project that spans ~20 employees, including external collaborators.

Leading the Data Group inside the Machine Learning Team of the Camera Department and working on unsupervised learning approaches. Scrum Master for the overall team.

Solving Computer Vision problems in the Machine Learning Team of the Camera Department in the Mobis Technology Center Europe, the Research & Development branch of Mobis Parts Europe N.V.

Finishing the project I started as Research Intern in the Facebook Reality Labs Pittsburgh now as contingent worker for Facebook Germany remotely in Home-Office.

Research Intern in the Facebook Reality Labs in Pittsburgh, PA, USA, working on relighting of human avatars to enhance telepresence in Augment Reality. Frameworks used: Python, Numpy, OpenCV, PyTorch, Slurm, GIT

Working in Computer Vision and Machine Learning mostly on the problem of Intrinsic Image Decomposition, the separation of images into their reflectance and shading layers. Frameworks used: Python, Numpy, OpenCV, Caffe, Tensorflow, HTCondor, GIT.

Developing collaborative motion planning algorithms for unmanned aerial vehicles.

PhD in Computer Vision / Machine Learning

Theoretical Computer Science, Cryptography, Robotics. Additionally I studied Mathematics, where I also received the "Vordiplom".