Andrea Zanetti
Independent Consultant AI & Telecom For Innovation
Gdańsk, Pomeranian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolAndrea Zanetti is an independent consultant and technical leader with two decades of experience at the intersection of telecommunications, applied mathematics, and artificial intelligence, now focusing on innovation in AI and telecom. He has led R&D and engineering teams at Intel and Cerence, worked on generative deep learning and TTS, and bridged research with product-focused performance optimization on specialized hardware. A hands-on applied scientist, he has contributed to notable open-source ML tooling—such as enhancements to the PyTorch Geometric graph neural network library—demonstrating both algorithmic depth and practical engineering. His background in network architecture and large-scale telecom projects gives him a rare ability to translate complex theoretical models into deployable, high-performance systems. Based in Gdańsk, he combines academic rigor from advanced studies in computational physics and AI with proven experience managing distributed teams and high-stakes technical deals.
9 years of coding experience
18 years of employment as a software developer
Master's Degree, Telecommunications, 107/110, Master's Degree, Telecommunications, 107/110 at University of PadovaMaster's Degree, Computational Physiscs, 110/110, Master's Degree, Computational Physiscs, 110/110 at Università degli Studi di UdineDIPLOMA, Electronics, 48/60, DIPLOMA, Electronics, 48/60 at Technical institute MalignaniDoctor of Philosophy - PhD (UNFINISHED), Artificial Intelligence, Doctor of Philosophy - PhD (UNFINISHED), Artificial Intelligence at Warsaw University of TechnologyCertificates, IP Networks, PM, languages, business awareness, Certificates, IP Networks, PM, languages, business awareness at Further Education
English, Italian, French, Polish
Github Skills (8)
pytorch10
deep-learning10
pytorch-geometric10
graph-neural-network10
python10
benchmark8
benchmarking8
documentation7
Programming languages (5)
Github contributions (5)
pyg-team/pytorch_geometric
Oct 2022 - Mar 2024
Graph Neural Network Library for PyTorch
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 6 PRs, 1 branch in 1 year 4 months
Contributions summary:Andrea primarily contributed to the PyTorch Geometric library, focusing on graph neural network functionalities. They implemented SparseTensor support for the `trim_to_layer` function and added examples for hierarchical sampling and benchmarking bidirectional sampling. Furthermore, the user contributed to documentation by creating a page for Hierarchical Graph Adjacency Matrix (HGAM) and made a minor correction for CPU execution.
pytorchgraph-convolutional-networksgeometric-deep-learningdeep-learningneural-graph
andreazanetti/pytorch_geometric
Oct 2022 - Mar 2024
Graph Neural Network Library for PyTorch
Contributions:35 pushes, 6 branches in 1 year 4 months
pytorchdeep-learningneural-graphgraph-neural-networkgraph-neural-networks
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