Marco Cotogni

Lead Research Engineer - Computer Vision at Pirelli

Milan, Lombardy, Italy
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Summary

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Marco Cotogni is a Lead Research Engineer in Computer Vision at Pirelli with a PhD in Computer Science and five years of focused experience translating deep learning research into industrial AI for manufacturing. He has progressed from research internships to roles at Leonardo Labs and Pirelli, where he specialized in privacy-preserving ML, scene-text super-resolution, and multimodal learning for the tyre industry. Marco combines academic rigor with production-minded engineering, leading teams to deploy computer vision solutions that address real-world manufacturing constraints. Based in Milan, he brings strong foundations from top Italian universities (110 cum laude at the master’s level) and a track record of bridging lab research and factory-scale applications. Notably, his work emphasizes practical privacy and multimodal strategies—an often-overlooked necessity when moving CV models from prototype to plant.
code5 years of coding experience
job2 years of employment as a software developer
bookMaster's degree, Computer Engineering, 110 cum laude, Master's degree, Computer Engineering, 110 cum laude at Università di Pavia
bookPh.D., Computer Science, Ph.D., Computer Science at Università degli Studi di Pavia
languagesItalian, English, Spanish
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Github Skills (21)

image-enhancement10
inversion9
inpainting9
segmentation9
colorspace8
tree-search8
diffusion-models8
histogram-equalization7
image-processing7
computer-vision6
stable-diffusion6
pytorch6
gnn6
deep-reinforcement-learning5
deep-learning5

Programming languages (2)

MATLABPython

Github contributions (5)

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OcraM17/TreEnhance

Dec 2022 - Feb 2023

Official implementation of the paper "TreEnhance: A Tree Search Method For Low-Light Image Enhancement"
Contributions:17 commits, 15 pushes, 1 branch in 1 month
image-enhancementtree-searchcomputer-visiondeep-reinforcement-learningimage-processing
OcraM17/ColorEnhancement

Feb 2021 - Mar 2021

Implementation of several several losses and a generative architecture (in different color space) for Color Image Enhancement.
Contributions:20 commits, 22 pushes, 1 branch in 28 days
colorspaceimage-enhancementcomputer-visiondeep-learninggans
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