Federico Angioni

Project Contributor at Delft University of Technology

Delft, South Holland, Netherlands
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Summary

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Senior
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Federico Angioni is an aerospace engineering undergraduate at Delft University of Technology focused on sustainable aviation and machine learning applications in flight performance. He contributes to open education by co-authoring interactive notebooks for the FPAO-CC project, delivering publicly available resources used by roughly 380 students annually. His hands-on experience spans modeling and control of bio-inspired flapping drones in MATLAB/Simulink, precision electronics design for sounding rockets, and tutoring 350+ first-year students as a teaching assistant. Federico combines academic rigor with practical build-and-validate cycles—evident from a validated pyrotechnic deployment PCB with sub-second timing accuracy. He also brings cross-disciplinary curiosity from an honours programme that blends engineering with arts and architecture, and a background in event leadership and recruitment. Based in Delft, he’s motivated by making complex aerospace concepts accessible through code, interactive teaching, and reproducible research.
code10 years of coding experience
job1 year of employment as a software developer
bookLiceo Scientifico Enrico Fermi - Padova
bookInternational Baccalaureate Diploma Programme, International Baccalaureate Diploma Programme at NOVA International School Skopje
bookBachelor's degree, Aerospace, Aeronautical and Astronautical Engineering, Bachelor's degree, Aerospace, Aeronautical and Astronautical Engineering at Delft University of Technology
languagesItalian, English, French
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Github Skills (12)

spiking-neural-networks9
cuda8
optical-flow7
cpp7
neural-network6
self-supervised-learning5
gpu-acceleration5
deep-learning2
computer-vision2
pytorch2
machine-learning1
evolutionary-algorithms1

Programming languages (5)

C++CTeXPythonCuda

Github contributions (5)

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fedepare/tetrisRL

Feb 2017 - Mar 2017

Contributions:56 commits, 54 pushes, 6 branches in 20 days
tudelft/cuSNN-samples

Oct 2018 - Aug 2019

Samples which demonstrate features provided by cuSNN
Contributions:30 commits, 1 push in 10 months
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