Maria Papadomanolaki
Machine Learning Engineer At Orbital Eye
Netherlands
Summary
👤
Senior🎓
Top SchoolMaria Papadomanolaki is a Machine Learning Engineer with a decade of experience applying deep learning to remote sensing and medical imaging problems, currently building AI-driven solutions at Orbital Eye from the Netherlands. She holds a PhD in Deep Learning for Remote Sensing and has transitioned her expertise—spanning semantic segmentation, change detection, and image registration—into histopathology cancer detection using Python and PyTorch. Her work bridges rigorous academic research (postdoctoral work at CentraleSupélec) with product-focused engineering, evidencing an ability to move models from experimentation toward real-world applications. Notably, she combines experience with deformable registration and spatial transformer networks with large multimodal satellite classification, giving her a rare cross-domain perspective on image alignment and interpretation. She is actively pursuing industry roles in computer vision where her research-grade methods can improve diagnostic and geospatial AI systems.
9 years of coding experience
2 years of employment as a software developer
PhD Degree, Deep Learning for Remote Sensing, PhD Degree, Deep Learning for Remote Sensing at National Technical University of Athens
English, Greek, Dutch
Github Skills (43)
object-detection8
weakly-supervised-learning8
pytorch7
biomedical-engineering7
ios7
onnx7
machine-learning7
deep-learning7
histopathology7
yolov57
digital-pathology6
biomedical6
tflite6
coreml6
computer-vision5
Programming languages (2)
Github contributions (5)
mpapadomanolaki/UNetLSTM
Dec 2019 - Nov 2021
Contributions:64 commits, 38 pushes, 11 comments in 1 year 11 months
mpapadomanolaki/Multi-Step-Deformable-Registration
Mar 2021 - Jun 2021
Contributions:35 commits, 14 pushes, 4 comments in 2 months
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