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I am a Software Engineer at Google based in Zürich. I hold a Master's degree in Computer Science with distinction from ETH Zürich (GPA: 5.87/6) with a focus on Machine Intelligence and Software Systems, alongside a B.Sc. from Politecnico di Milano (110 cum Laude). My interests span across Machine Learning, Computer Vision, and Software Systems. I have experience working at industry leaders including Databricks and Amazon, where I developed expertise in building scalable systems and ML infrastructure. |
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Google
Sep. 2026 - Present
Software Engineer
Zürich, Switzerland
Working on Google Search.
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Databricks
Jul. 2025 - Sep. 2025
Software Engineer Intern
Amsterdam, Netherlands
Worked on the DevEx team using Go, Scala, Linux, and AWS. Improved remote development system start/stop times by 80%, saving 25 engineer hours daily. Received a return offer for 2026.
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Amazon
Aug. 2023 - Dec. 2023
Software Dev Engineer Intern
Luxembourg, Luxembourg
Worked in a team of engineers supporting scientists in the organization.
Expanded capabilities of an internal tool used for ML deployments on AWS for Amazon Transportation Services.
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Gabriel Tavernini*, Elisabetta Fedele*, Tiago Novello, Leonidas Guibas, Marc Pollefeys, Francis Engelmann ECCV 2026 project page / arXiv SuperFlex improves over SuperDec in terms of reconstruction quality, primitive expressivity (introduces bending and tapering), and robustness to occluded point clouds. |
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Matteo Boglioni, Andrea Sgobbi, Gabriel Tavernini, Francesco Rita, Marius Mosbach, Tiago Pimentel ACL Findings 2026 arXiv An analysis of LLM generalization performance and whether improvements across diverse benchmarks reflect robust generalization or are specific evaluation artifacts. |
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ETH Zürich
Sep. 2023 - Jun. 2026
Master in Computer Science
Zürich, Switzerland
GPA: 5.87/6 | Specialization: Machine Intelligence with Minor in Software Systems
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Hong Kong University of Science and Technology
Aug. 2022 - Jan. 2023
Exchange Student
Hong Kong SAR
GPA: 4.09/4.3
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Politecnico di Milano
Sep. 2020 - Jul. 2023
Bachelor in Computer Science and Engineering
Milan, Italy
Grade: 110 cum Laude/110
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