Amedeo Vetrella is a computer vision engineer and systems architect with nine years of experience applying aerospace-grade guidance, navigation and control to real-world positioning and perception problems. Trained summa cum laude in Aerospace Engineering and with a PhD focused on cooperative GNC for UAV swarms, he blends deep academic research (ETH Zurich, Cranfield) with industry R&D delivering GNSS/INS dead-reckoning and positioning products at u-blox. Now at Meta, he translates sensor-fusion, vision-based pose estimation and embedded systems know-how into scalable computer vision solutions for production systems. He has a track record of building tightly coupled IMU/GPS EKFs, multi-sensor visual-inertial pipelines, and real-time C/C++ embedded software for aerial platforms. Comfortable moving between low-level algorithms and system-level architecture, he brings uncommon expertise in autonomy under GPS-challenged conditions and practical deployment on constrained hardware. Based in Zurich, he combines academic rigor with product-focused engineering to drive reliable navigation and perception in complex environments.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.E.) Aerospace Aeronautical and Astronautical Engineering, Bachelor of Engineering (B.E.) Aerospace Aeronautical and Astronautical Engineering at Università degli Studi di Napoli 'Federico II'
Master's degree Aerospace Engineering, Master's degree Aerospace Engineering at Università degli Studi di Napoli Federico II
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Amedeo Vetrella - Computer Vision Engineer at Meta