Frederik Kaster is an AI and ML engineer with over ten years of experience in applying machine learning techniques to address real-world problems across various industries, including quantitative investing, medtech, and autonomous driving. Kaster holds a PhD in Physics from Ruprecht-Karls-Universität Heidelberg and has worked as a research scientist, software developer, and product manager in medical imaging, as well as a quantitative portfolio analyst at OxFORD Asset Management LLP. Currently, Kaster serves as a Senior Deep Learning Inference Software Engineer at NVIDIA, focusing on optimizing deep learning inference for automotive applications. Kaster is particularly skilled in C++, MATLAB, and Python, with expertise in ensemble methods, graphical models, and deep learning technologies.
This person is not in the org chart
This person is not in any teams
This person is not in any offices