Edoardo Giacomello

Machine Learning Specialist at Human Technopole

Lombardy, Italy
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Summary

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Senior
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Top School
Edoardo Giacomello is a Machine Learning Specialist and Postdoctoral researcher with 11 years of experience applying deep learning to games, healthcare, and signal processing. He earned a PhD from Politecnico di Milano focused on Collaborative Deep Learning and Computer Vision, authored nine papers, and originally gained attention for DoomGAN, a procedurally-generative levels project born from his master's thesis. Edoardo has blended academic rigor with industry practice at fintech and startup R&D teams, building models for biometrics, audio, and NLP pipelines and supporting end-to-end software development. Comfortable teaching and mentoring—having served as a university assistant and Python tutor—he brings strong communication skills to cross-disciplinary, multi-centric projects. Based in Lombardy, Italy, he combines research-grade experimentation with product-minded engineering to move novel ML ideas toward real-world impact.
code11 years of coding experience
job2 years of employment as a software developer
bookPerito informatico, Informatica, Perito informatico, Informatica at Itis A. Volta - lodi
bookDottorato di ricerca, Computer Engineering, Cum Laude, Dottorato di ricerca, Computer Engineering, Cum Laude at Politecnico di Milano
languagesItalian, English
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Github Skills (64)

python10
machine-learning10
generative-adversarial-network10
deep-learning10
tensorflow10
neural-network10
intellij9
ml9
deep-neural-networks9
python-bindings9
image-manipulation8
java8
pytorch8
nvidia-docker8
data-science8

Programming languages (7)

C#TypeScriptJavaC++TeXJupyter NotebookPython

Github contributions (5)

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DanieleLoiacono/DoomGAN

Dec 2018 - Jul 2022

DOOM level generation using Generative Adversarial Networks
Contributions:4 commits, 4 pushes in 3 years 8 months
generative-adversarial-networkgamegandeep-learninglevel-design
edoardogiacomello/DoomGAN

Oct 2017 - Jun 2021

Main Repository for my MSc thesis about Procedural content generation via machine learning applied to videogames levels (Doom I/II)
Contributions:166 commits, 1 push in 3 years 8 months
machine-learningadversarial-networksleveldesignpcgmlvideogamedesign
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Edoardo Giacomello - Machine Learning Specialist at Human Technopole