Zachary Bell
Aerospace Engineer at EpiSci (an Applied Intuition company)
Florida, United States
Summary
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Senior🎓
Top SchoolZachary Bell is an aerospace engineer with 11 years of experience developing nonlinear adaptive guidance, navigation, and control algorithms for air and ground vehicles, blending theory with hands-on hardware demonstrations. He has applied ROS, OpenCV, C/C++, Python, PyTorch, Gazebo, and Ubuntu to create vision- and lidar-based control and estimation systems, transitioning research from simulation to flight-tested multi-agent platforms. At AFRL he focused on contested-environment autonomy and algorithm transition, and he now contributes to applied autonomy at EpiSci (an Applied Intuition company). As an adjunct professor and PhD-trained researcher from the University of Florida, he taught and published on integrating deep learning into nonlinear adaptive controllers. His work includes image-based visual odometry and real-time scene reconstruction, with code and papers available on his GitHub and Google Scholar, reflecting a rare combination of rigorous theory, experiments, and reproducible software.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at University of Florida
Github Skills (25)
opencv10
python10
image-processing10
deep-learning10
computer-vision10
mex9
parrot9
ros-driver8
matlab7
ros7
robotics6
driver5
development-kit4
drones3
lte2
Programming languages (4)
Github contributions (5)
bellz867/two_link_control
Jan 2022 - Apr 2022
Contributions:42 commits, 30 pushes, 14 branches in 2 months
bellz867/odom_estimator
Jun 2019 - Jun 2021
Contributions:4 commits, 3 pushes, 1 branch in 2 years
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