Fabio Rosato

Lead Mobile Applications Engineer

Greater Rome Metropolitan Area Italy
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Summary

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Senior
🎓
Top School
Fabio Rosato is a Lead Mobile Applications Engineer and entrepreneurial software consultant with about a decade of experience designing cloud-native, serverless architectures and shipping mobile and web products. He blends hands-on development (iOS/Android full-stack work) with AWS solutions architecture and process-driven project leadership, often moving quickly from discovery to execution. Recently he has focused on healthcare apps at Ospedale San Raffaele—building prehabilitation and rapid-response cardiac apps—while running his own consultancy for MVPs and scalable systems. Fabio’s open-source contributions include improving simprocs in the well-known angr binary-analysis platform, showing a knack for low-level correctness and toolchain reliability beyond typical mobile/cloud work. Colleagues describe him as intellectually curious and people-oriented: he mentors engineers, streamlines delivery, and prioritizes practical, maintainable solutions. Based in Rome, he combines academic training in computer engineering with entrepreneurial grit to solve complex problems end-to-end.
code9 years of coding experience
job10 years of employment as a software developer
bookHigh School Diploma Sciences, High School Diploma Sciences at Liceo Statale Leonardo Da Vinci
bookMaster of Science - MS Engineering in Computer Science, Master of Science - MS Engineering in Computer Science at Sapienza Università di Roma
languagesItalian, English, Spanish
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Github Skills (6)

analyse10
python10
binarydiff10
angr10
c119
c179

Programming languages (4)

HTMLSvelteDartPython

Github contributions (5)

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angr/angr

Sep 2017 - Oct 2017

A powerful and user-friendly binary analysis platform!
Role in this project:
userBack-end Developer
Contributions:5 commits, 2 PRs, 1 comment in 11 days
Contributions summary:Fabio primarily contributed to the angr binary analysis platform by implementing and modifying simprocs. They focused on improving the accuracy and functionality of the platform, with specific contributions including the addition of `tolower` and `toupper` simprocs, and the correction of existing simprocs such as `GetTickCount`. These modifications suggest an emphasis on enhancing the system's ability to handle diverse operating system calls and improve its overall analysis capabilities. Furthermore, they simplified and fixed return value types, indicating code maintenance and improvement practices.
pythonbinary-analysisanalysisuser-friendlyangr
farosato/angr-antievasion

Apr 2017 - Oct 2017

Contributions:1 release, 43 commits, 4 pushes in 5 months
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