Simone Morettini is a robotics software engineer with a decade of hands-on experience spanning embedded systems, backend development and machine learning for industrial robots and space applications. Currently based in Luxembourg at Redwire Space and previously contributing to NASA’s F´ flight software, he blends low-level firmware fixes and UART driver enhancements with higher-level robotics algorithms. He holds an EIT Master in Autonomous Systems (UNITN–KTH) and has applied Gaussian Process Regression and hybrid ML methods for predictive maintenance during an ABB thesis. Raised in rural central Italy, Simone combines technical rigor with a curiosity for travel and cross-cultural collaboration, which he credits for helping him tackle distributed, multidisciplinary challenges.
10 years of coding experience
4 years of employment as a software developer
Master's degree - 1st year of EIT Master in Autonomous System, Master's degree - 1st year of EIT Master in Autonomous System at Università di Trento
Master's degree - 2nd year of EIT Master in Autonomous System, Master's degree - 2nd year of EIT Master in Autonomous System at KTH Royal Institute of Technology
Istituto tecnico industriale statale "Marconi"
Bachelor, Computer Science, 110/110 con lode, Bachelor, Computer Science, 110/110 con lode at University of Camerino
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Mälardalen University
F´ - A flight software and embedded systems framework
Role in this project:
Embedded Systems Engineer / IoT Developer
Contributions:4 reviews, 3 commits, 14 PRs in 5 months
Contributions summary:Simone contributed to the F´ flight software framework by addressing missing header inclusions and fixing tests. They focused on fixing autogeneration of header guards and tests, including updating namespace generation. The user also removed a configuration file and added support for additional baud rates for the Linux UART driver. Further contributions included implementing offsets in the RateGroupDriver and general UT improvements.
The project is about applying CNNs to EEG data from CHB-MIT to predict seizure
Contributions:15 commits, 2 PRs, 6 pushes in 2 years 4 months
pythondeep-learningcnnsmachine-learningpredict
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Simone Morettini - Robotics Software Engineer at Redwire Space