Giulio Ungaretti
Software, Development Tools And AI Solution Engineer at Microsoft
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolGiulio Ungaretti is a pragmatic software and AI solution engineer with 11 years of experience building full-stack data platforms, developer tools, and scientific instrumentation software across startups and large enterprises. He blends hands-on polyglot engineering (Python, C#, Go, TypeScript, F#, Elm) with product leadership—most recently modernizing AI-powered lab notebooks and leading data initiatives for quantum and research teams. A longtime open-source contributor and former lead on the widely used QCoDeS data acquisition project, he pairs rigorous testing and QA practice with an eye for intuitive GUIs and functional programming. Giulio is equally comfortable in cloud and edge/embedded contexts, and he brings a rare background in nanotechnology and experimental science to bridge domain needs with scalable software. He’s also an active community organizer and mentor, advocating open data and inclusive STEM communities.
11 years of coding experience
12 years of employment as a software developer
Master's Degree Nanotechnology, Master's Degree Nanotechnology at Københavns Universitet - University of CopenhagenBsc Materials Engineering, Bsc Materials Engineering at Università Ca' Foscari di VeneziaMedie superiori, Medie superiori at Liceo Classico R.Franchetti
Italian, English, French, Spanish
Github Skills (5)
unit-testing10
test-framework10
python10
test-automation10
testing10
Programming languages (14)
Github contributions (5)
microsoft/Qcodes
Jun 2016 - Feb 2018
Modular data acquisition framework
Role in this project:
Backend Developer & QA Engineer
Backend Developer & QA EngineerContributions:2 releases, 192 commits, 139 PRs in 1 year 8 months
Contributions summary:Giulio's contributions focused on improving the test suite and ensuring the project's stability. They addressed issues by fixing existing tests and implementing new tests to verify the correct behavior of core functionalities. This involved modifications to the test environment, as well as improvements to the test runner to ensure correct behavior in various operating system conditions. Their work ensured the reliability of the data acquisition framework.
physicsdata-acquisitionstream-processingdata-processingframework
giulioungaretti/dotfiles
Aug 2014 - Jul 2019
Contributions:634 commits, 10 PRs, 220 pushes in 5 years
tmuxneovimdotfilesdotsdreams
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