Friedel Van Megen
Principal Software Engineer at Microsoft
Aachen, North Rhine-Westphalia, Germany
Summary
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Rockstar🎓
Top SchoolFriedel Van Megen is a Principal Software Engineer with over 20 years of experience specializing in platform and system-level software for ARM/ARM64 and embedded environments. At Microsoft he has driven FPGA acceleration for AI workloads (Project Brainwave), led Speech Client SDK efforts across Android/Java/JavaScript, and now contributes to Azure OpenAI in international teams. He blends deep expertise in virtualization, cross-compilation and toolchain fixes with practical DevOps sensibilities, evidenced by aarch64 and build-system contributions to the high-profile Microsoft Cognitive Toolkit (CNTK). Known for taking concepts through design, implementation, integration and tech transfer, he excels at making complex, hardware-anchored software reproducible and portable. Based in Aachen, Germany, Friedel pairs a research-minded background with hands-on engineering that enables partners to build custom, production-grade hardware and speech-enabled solutions.
11 years of coding experience
8 years of employment as a software developer
Diplom, Diplom at Technische Universität Kaiserslautern
English, German
Github Skills (9)
build-tools10
build-system10
c-language10
cprogramming-language10
crossbuild9
cross-compiling9
mpi9
deep-learning8
cntk8
Programming languages (6)
Github contributions (5)
microsoft/CNTK
Oct 2016 - Mar 2017
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:273 commits, 141 pushes, 14 branches in 5 months
Contributions summary:Friedel focused on fixing build errors related to the gcc compiler and format string parameter types within the Microsoft Cognitive Toolkit (CNTK) repository, a deep-learning toolkit. They also made changes to the MPIWrapper code, making openmpi optional, and removing template classes from the interface, implying contributions to improving the build process and dependency management. Further contributions include initial aarch64 patch and several fixes to address code issues that relate to cross-compilation, suggesting an interest in cross-platform support, likely for ARM64 devices.
pytorchpythondeep-learningc-plus-plusmachine-learning
fmegen/AndroidAPS
May 2019 - Dec 2019
Contributions:9 pushes, 1 branch in 6 months
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