Huck Febbo

Staff Autopilot Machine Learning Engineer at Tesla

San Jose, California, United States
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Summary

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Senior
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Huck Febbo is a staff Autopilot Machine Learning and Vehicle Motion Controls engineer at Tesla with 11 years of experience bridging mechanical design, dynamics, controls, and autonomous vehicle systems. He holds advanced study in mechanical engineering and a BS from the University of Florida, and his career spans research internships at Honda Research Institute and technical roles at Sandia and Lockheed Martin. Huck combines hands-on systems engineering with open-source contributions—having fixed critical backend issues in the widely used JuliaPlots Plots.jl library—demonstrating attention to cross-platform stability and dependency interactions. He is passionate about pushing autonomous mechanical systems into hazardous-work applications like roofing and mining while minimizing environmental impact. Based in San Jose, he blends deep dynamics and control expertise with practical software and tooling improvements that improve real-world autonomy performance.
code11 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy (PhD) Mechanical Engineering, Doctor of Philosophy (PhD) Mechanical Engineering at University of Michigan - Rackham Graduate School
bookAssociate of Arts (A.A.) Aerospace Aeronautical and Astronautical Engineering, Associate of Arts (A.A.) Aerospace Aeronautical and Astronautical Engineering at Broward College
bookBachelor of Science (BS) Mechanical Engineering, Bachelor of Science (BS) Mechanical Engineering at University of Florida
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Stackoverflow

Stats
313reputation
83kreached
8answers
15questions
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Github Skills (14)

conda10
back-end-development10
plot10
julia10
ubuntu10
visualizations9
visualization9
algorithm6
genetic-algorithm6
ipopt6
matlab6
filtering6
interpolation6
gpu6

Programming languages (11)

JuliaTypeScriptDockerfileCSSC++CoffeeScriptCJavaScript

Github contributions (5)

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JuliaPlots/Plots.jl

Jan 2017 - Nov 2017

Powerful convenience for Julia visualizations and data analysis
Role in this project:
userBack-end Developer
Contributions:7 commits, 13 PRs, 26 comments in 9 months
Contributions summary:Huck primarily focused on resolving issues related to the PyPlot backend within the Plots.jl library. Their contributions involved fixing a segmentation fault on Ubuntu, specifically addressing a compatibility problem with Conda and the Qt version. The user also made adjustments to the warning messages and legend positioning within the PGFPlots backend. The changes demonstrate the user's focus on improving the stability and usability of the plotting library, and also shows an understanding of system dependencies.
data-analysisjulia-languageconveniencevisualizationsdata-visualization
huckl3b3rry87/PrettyPlots.jl

Apr 2017 - Dec 2018

Contributions:9 releases, 62 pushes, 2 branches in 1 year 7 months
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Huck Febbo - Staff Autopilot Machine Learning Engineer at Tesla