John Graner
Staff Fleet Support Engineer at Shield AI
Grand Prairie, Texas, United States
Summary
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Senior🎓
Top SchoolJohn Graner is a Staff Fleet Support Engineer with eight years of aerospace and systems engineering experience, currently supporting Shield AI from the Dallas–Fort Worth area. He blends hands-on flight test and navigation systems expertise with data-driven analysis using Python and MATLAB, having led multi-million dollar test programs and identified critical system deficiencies. His background spans guidance, navigation, and control at Lockheed Martin and practical signal/latency tooling for EA-18G systems, reflecting a rare mix of field testing and software-driven troubleshooting. A Michigan MSE graduate who published AIAA research on electromagnetic flow control, he brings rigorous experimental methods to operational fleet support. Known for strong problem-solving, collaboration, and a willingness to put in extra effort, he consistently delivers timely, correct solutions under risk-managed flight test conditions. Notably, he has transitioned from research to applied fleet engineering, turning academic modeling and lab experiments into operationally impactful results.
8 years of coding experience
6 years of employment as a software developer
Master of Science in Engineering, Aerospace Engineeing, GPA: 3.83, Master of Science in Engineering, Aerospace Engineeing, GPA: 3.83 at University of MichiganBachelor of Science In Aerospace Engineering, Aerospace Engineering, Bachelor of Science In Aerospace Engineering, Aerospace Engineering at University of Florida
Github Skills (2)
converter9
bids8
Programming languages (2)
Github contributions (5)
jlgraner/EMERALD_MRI_Scripts
Nov 2018 - Sep 2021
Contributions:137 pushes, 36 branches in 2 years 10 months
jlgraner/bxh2bids
Dec 2017 - Jul 2022
Convert from .bxh to BIDS format
Contributions:3 releases, 93 commits, 22 PRs in 4 years 8 months
bids-formatbidsconverter
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