Ivano Donadi
Software Engineer at Università degli studi di Padova
Padua, Veneto, Italy
Summary
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Rockstar🎓
Top SchoolIvano Donadi is a software engineer from Padua with nine years of practical experience and a strong academic background, holding both bachelor’s and master’s degrees in Computer Engineering with highest honors. He focuses on robotics and computer vision, and enjoys building performant CLI tools and IoT projects using C, C++, and Rust. As an open-source ML engineer he contributed an approximate DBSCAN implementation and performance-driven refactors to the Rust linfa ecosystem, demonstrating skill in algorithms, data structures, testing, and documentation. Known for blending research-minded rigor with hands-on firmware and systems work, he brings a pragmatic approach to embedded and machine-learning problems that favors clean interfaces and measurable performance gains.
9 years of coding experience
Laurea Triennale, Ingegneria dell'Informazione, 110/110 e Lode, Laurea Triennale, Ingegneria dell'Informazione, 110/110 e Lode at Università degli Studi di PadovaDiploma Istituto Tecnico e Professionale, Programmazione informatica, 100, Diploma Istituto Tecnico e Professionale, Programmazione informatica, 100 at Isiss Scarpa
Github Skills (9)
algorithms10
machine-learning10
rust10
clustering10
dbscan10
testing9
data-structure9
data-structures9
scientific-computing8
Programming languages (4)
Github contributions (5)
rust-ml/linfa
Dec 2020 - Apr 2021
A Rust machine learning framework.
Role in this project:
ML Engineer
ML EngineerContributions:97 reviews, 10 commits, 12 PRs in 4 months
Contributions summary:Ivano primarily contributed to the implementation of the approximated DBSCAN algorithm, focusing on the `linfa-clustering` subcrate. Their work involved developing the AppxDbscan implementation, adding necessary data structures (like counting trees and cells), and incorporating comprehensive testing and documentation. Furthermore, they refactored the code to adapt to new interfaces and improve performance. They also improved documentation and added tests related to kernel tests.
rustscientific-computingmachine-learningframework-learningmachine-learning-framework
Sauro98/lorawan
Aug 2016 - Oct 2020
Contributions:1 PR, 300 pushes, 2 branches in 4 years 3 months
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