Giovanni Pellegrini
AI Scientist at Ipazia
Greater Trento Metropolitan Area Italy
Summary
👤
Senior🎓
Top SchoolGiovanni Pellegrini is an AI Scientist with 11 years of experience building machine learning and generative AI solutions for industry and research. He holds a PhD in Computer Science from the Università di Trento and has applied his expertise at startups and research labs, including GlassFORM.ai and Telecom Italia. His research focuses on Graph Neural Networks, Statistical Relational Learning, and generative agentic AI, and he contributes practical GNN code and tutorials to the PyTorch Geometric community. Based in the Greater Trento area, he blends deep academic training with hands-on ML engineering to move graph-based research into production-ready systems. Notably, his open-source work demonstrates attention to reproducibility and dataset handling that accelerates adoption of graph models.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università di TrentoPerito Capotecnico Informatico, Informatica, Perito Capotecnico Informatico, Informatica at ITIS G. ChilesottiMaster degree, Computer Science, 109/110, Master degree, Computer Science, 109/110 at Università degli Studi di TrentoMachine Intelligence, Machine Intelligence at Aalborg Universitet
Italian, English
Github Skills (7)
pytorch10
machine-learning10
pytorch-geometric10
graph-neural-network10
gnn10
deep-learning9
data-handling9
Programming languages (1)
Github contributions (5)
AntonioLonga/PytorchGeometricTutorial
Apr 2021 - Jun 2021
Pytorch Geometric Tutorials
Role in this project:
ML Engineer
ML EngineerContributions:12 commits, 11 pushes in 2 months
Contributions summary:Giovanni appears to be contributing to PyTorch Geometric tutorials, indicating a focus on graph neural networks. The commits involve fixing file names, implementing a Graph Neural Network Model, and working with datasets. The code demonstrates proficiency in utilizing PyTorch Geometric libraries for graph-based data handling and model development.
pytorchgnnpytorch-geometricgeometricgraph-embedding
andreapasserini/TET
Aug 2018 - Jun 2019
Contributions:3 commits, 3 pushes in 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.