Pavel Macenauer
AI ML Software Manager at NXP Semiconductors
Brno, South Moravia, Czechia
Summary
👤
Senior🎓
Top SchoolPavel Macenauer is an AI/ML software manager with 11 years of experience leading R&D teams to bring machine learning to constrained edge devices, from microcontrollers to microprocessors, at NXP Semiconductors. He blends an image-processing and computer-vision background with GPU computing and aerospace-grade embedded systems design, shaping runtime libraries, inference engines and AI tooling. Pavel contributes practical examples and utilities to Arm NN’s PyArmNN ecosystem, reflecting a hands-on focus on making models runnable and reproducible on real hardware. A founder and CTO with a history of web and systems development, he pairs entrepreneurial agility with formal engineering discipline from projects at Honeywell Aerospace and startups. Based in Brno, he’s known for bridging research and productization—translating complex ML models into efficient, deployable embedded solutions while occasionally working alongside dogs.
11 years of coding experience
13 years of employment as a software developer
Master’s Degree, Faculty of Information Technology, Computer Graphics and Multimedia, Master’s Degree, Faculty of Information Technology, Computer Graphics and Multimedia at Brno University of TechnologyBachelor’s Degree, Computer Technology/Computer Systems Technology, Bachelor’s Degree, Computer Technology/Computer Systems Technology at Faculty of Electrical Engineering, Czech Technical University in Prague
Czech, English, French, German, Spanish
Github Skills (7)
neural-network10
tflite10
machine-learning10
onnx10
python10
cmake9
image-processing8
Programming languages (1)
Github contributions (5)
ARM-software/armnn
Apr 2020 - Oct 2020
Arm NN ML Software.
Role in this project:
ML Engineer
ML EngineerContributions:7 commits in 6 months
Contributions summary:Pavel primarily contributes to example scripts and utilities within the PyArmNN framework, demonstrating a focus on integrating and showcasing machine learning models. Their work includes creating and integrating example scripts for ONNX and TFLite models and creating utilities for image preprocessing and inference execution, including model download and file handling. They are responsible for integrating PyArmNN into CMake and updating examples to use resources manually. This indicates a role focused on the practical application and demonstration of Arm NN's capabilities.
machine-learningneural-networkneural-networks
macenpav/imcgp
May 2015 - May 2019
Contributions:1 push, 1 branch in 4 years
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