Michal Koperski
Senior Machine Learning Engineer Co-founder at NeuralSpike.AI
Wroclaw Metropolitan Area Poland
Summary
👤
Senior🎓
Top SchoolMichal Koperski is a Senior Machine Learning Engineer and co-founder with 14 years of experience specializing in computer vision—particularly recognition, detection, and segmentation—and a strong track record of taking research into production. He holds a PhD from INRIA (sponsored by Toyota) whose methods were deployed to the Toyota Partner Robot and used for cognitive and daily-activity monitoring, and he led a research group at Tooploox on continual learning of deep networks. Michal has designed end-to-end ML pipelines and deployed models to embedded devices for products like June Oven, improved real-time semantic segmentation systems at mmhmm, and co-founded NeuralSpike.AI to commercialize ML solutions. Comfortable bridging academic rigor and product needs, he combines published research and patents with practical skills in data acquisition, annotation cost reduction, and on-device model maintenance. Based in Wrocław, Poland, he brings a rare blend of applied engineering, research leadership, and hands-on deployment experience across industry and robotics.
14 years of coding experience
16 years of employment as a software developer
Master of Science Computer Science (software engineering), Master of Science Computer Science (software engineering) at Poznan University of TechnologyDoctor of Philosophy - PhD Computer Vision, Doctor of Philosophy - PhD Computer Vision at Université Côte d'Azur
Github Skills (49)
experiment8
version-control8
trains8
pytorch7
onnx7
hardware-acceleration7
machine-learning7
tensorflow7
scikit-learn7
keras7
deep-learning7
model-conversion6
editing6
high-performance6
accelerator6
Programming languages (2)
Github contributions (5)
starsky/hugo-academic
Oct 2017 - Jan 2024
Contributions:5 pushes, 3 branches in 6 years 4 months
hugohugo-themewebsite-framework
tooploox/plugin-networks
Dec 2018 - May 2020
Contributions:9 commits, 3 pushes in 1 year 5 months
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