Paweł Luniak
Senior Machine Learning Engineer at HEMOLENS DIAGNOSTICS
Wroclaw Metropolitan Area Poland
Summary
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Senior🎓
Top SchoolPaweł Luniak is a Senior Machine Learning Engineer with 11 years in software and over 6 years focused on commercial AI, currently advancing non-invasive cardio-diagnostic technology at Hemolens Diagnostics. He brings deep computer vision and signal-analysis expertise from Tooploox—ranging from 6DoF pose estimation and RGB-D systems to recommendation and time-series models—combined with production-grade engineering skills in Python, C++, PyTorch and Docker. Earlier telecom and backend experience cultivated strong systems thinking and reliability practices across high-availability projects and 24/7 support rotations. A double-degree graduate from Politechnika Wrocławska, he blends academic rigor with hands-on product delivery, often translating research ideas into practical diagnostic and robotic vision components. Notably, he has repeatedly moved between research-grade algorithms and production constraints, helping bridge prototyping and clinical-grade deployment.
11 years of coding experience
7 years of employment as a software developer
Engineer’s Degree, Computer Science, Very Good, Engineer’s Degree, Computer Science, Very Good at Politechnika Wrocławska
Polish, English
Github Skills (22)
deep-learning6
imaging6
facebook6
pytorch6
computer-vision5
spring-boot5
medical-image-computing5
machine-learning5
facebook-messenger-bot5
spring5
medical-image-processing5
python5
facebook-messenger5
javascript4
portable4
Programming languages (4)
Github contributions (5)
pwlnk/cuda-neural-network
Mar 2018 - Apr 2018
Contributions:45 commits, 1 push, 1 branch in 29 days
pwlnk/focus-stacking
Jun 2018 - Jun 2018
Contributions:41 commits, 2 pushes in 5 days
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