Frederik Kaster
Senior Deep Learning Inference Software Engineer at NVIDIA- Claim this Profile
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Bio
Credentials
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Developing Secure Software
LinkedInJan, 2022- Nov, 2024 -
Learning Threat Modeling for Security Professionals
LinkedInJan, 2022- Nov, 2024 -
Learning Vulnerability Management
LinkedInOct, 2021- Nov, 2024
Experience
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NVIDIA
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United States
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Computer Hardware Manufacturing
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700 & Above Employee
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Senior Deep Learning Inference Software Engineer
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Oct 2018 - Present
* Added support for dynamic shapes and optimization profiles to NVIDIA's TensorRT software * Prepared major parts of the TensorRT code base for automotive safety certification / self-driving cars * Extended the support for pointwise operations in TensorRT by over 65% * Added support for dynamic shapes and optimization profiles to NVIDIA's TensorRT software * Prepared major parts of the TensorRT code base for automotive safety certification / self-driving cars * Extended the support for pointwise operations in TensorRT by over 65%
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OxFORD Asset Management LLP
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United Kingdom
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Investment Management
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1 - 100 Employee
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Quantitative Portfolio Analyst & Software Developer
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Jan 2014 - Oct 2018
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Mirada Medical
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United Kingdom
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Software Development
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1 - 100 Employee
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Research Scientist
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Feb 2011 - Jan 2014
Research Scientist in Medical Imaging Focus: Medical Image Registration, Multimodal Image Fusion, Oncology Imaging, Nuclear Medicine * Specified and developed algorithms and software prototypes for computer-assisted medical diagnostics (machine learning, image segmentation and registration, numerical methods, optimization) * Assumed product manager role for Mirada's radiotherapy treatment planning software (requirements analysis and specification, scientific validation, test specification, acceptance testing) * Represented the company in the scientific and clinical community, including conferences and trade shows Show less
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Heidelberg University
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Germany
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Higher Education
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700 & Above Employee
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Research Associate
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Sep 2007 - Dec 2010
Research in Biomedical Image Analysis and Pattern Recognition Focus Areas: Segmentation, Machine Learning, MR Image Analysis, Oncology Imaging, Microscopy Image Analysis * Developed and evaluated a novel statistical model for automated tumor classification in medical images based on unreliable manual annotations * Designed and developed a C++ library for the systematic training, testing, statistical evaluation, and quality assessment of classifiers for computer-assisted tumor diagnostics based on magnetic resonance spectroscopy imaging (MRSI) data * Assumed main responsibility on behalf of the University of Heidelberg for an MRSI analysis work package as part of a multi-centric software development project to build a platform for integrated radiological diagnostics and radiotherapy planning. Show less
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DKFZ German Cancer Research Center
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Germany
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Research Services
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700 & Above Employee
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Research Associate
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Sep 2007 - Sep 2010
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Education
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Ruprecht-Karls-Universität Heidelberg
Dr. rer. nat. / PhD, Physics -
Johannes Gutenberg-Universität Mainz
Diplom / MSc, Physics