Zane Fenice
About Zane Fenice
Zane Fenice is a Senior Engineer in Avionics, Instruments, and GNC at Blue Origin with over 10 years of experience in high-speed algorithm development and computer vision.
Current Position at BLUE ORIGIN
Zane Fenice is currently an Engineer specializing in Avionics, Instruments, and GNC (Guidance, Navigation, and Control) at BLUE ORIGIN. He has been working at BLUE ORIGIN since 2024, based in the Denver Metropolitan Area in an on-site capacity. His role involves the development of complex avionics systems for space exploration and advanced aerospace applications.
Previous Role at Lockheed Martin
Prior to his current position, Zane Fenice worked as a Computer Vision Senior Staff Software Engineer at Lockheed Martin from 2022 to 2024. During his tenure in Denver, Colorado, he focused on advanced computer vision applications to support Lockheed Martin's aerospace and defense projects. His work included the development and implementation of sophisticated software solutions tailored to high-stakes engineering challenges.
Experience at ELLWOOD Quality Steels Co
From 2019 to 2022, Zane Fenice served as a Systems Programmer at ELLWOOD Quality Steels Co in New Castle, Pennsylvania. In this role, he designed and developed software systems essential for operational efficiency and quality control. His expertise in applying computer vision and machine learning algorithms was key to advancing industrial processes and maintaining high standards in steel production.
Academic Background in Electrical and Electronics Engineering
Zane Fenice holds a Master of Engineering (MEng) in Electrical and Electronics Engineering from Università degli Studi di Parma, where he studied from 2008 to 2010. He also earned his Bachelor's degree in Software Engineering from the same institution, where he studied from 2005 to 2008. His academic foundation provided the technical skills and theoretical knowledge crucial for his professional development in engineering and computer vision.
Proficiency in High-Speed Algorithms and Machine Learning
Zane Fenice possesses over a decade of experience in developing high-speed algorithms using C++ and CUDA. He specializes in gathering and analyzing data and images through mathematical models and artificial intelligence. His advanced skills in machine learning enable him to solve complex engineering problems, particularly within industrial environments. His work consistently focuses on enhancing efficiency and quality through innovative technological solutions.