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.
Location
Miami, United States
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