David Deng
Undergraduate Researcher
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolDavid Deng is an undergraduate researcher and EECS student at UC Berkeley with 12 years of technical experience focused on computer vision, machine learning, and autonomous vehicle perception. He develops deep learning models for future point-cloud prediction from sequential LiDAR data under Prof. Avideh Zakhor and has worked on 3D human mesh reconstruction with Angjoo Kanazawa, blending research in dynamic scene understanding and 3D geometry. Alongside research he teaches and supports EE courses, and has practical systems experience from internships at Northrop Grumman—where he automated and GUI-wrapped testing for military radio networks—and roles in aerospace and energy labs. Based in Berkeley, he pairs strong academic training with hands-on prototyping and tooling skills, often bridging algorithm development with practical test infrastructure.
13 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Science, Bachelor of Science - BS, Electrical Engineering and Computer Science at UC Berkeley College of Engineering
Github Skills (36)
monitoring10
control-m10
monitor9
autodesk8
autodesk-inventor7
collaboration6
feed6
python6
data-repository6
binning6
mime-types5
hat5
snap5
beam4
cosmology4
Programming languages (7)
Github contributions (5)
david-deboer/Aug2021
Sep 2020 - Aug 2022
Contributions:1 review, 1 PR, 24 pushes in 1 year 11 months
HERA-Team/hera_mc
Oct 2016 - Sep 2022
The HERA monitor and control (M&C) system.
Contributions:65 reviews, 1701 commits, 297 PRs in 5 years 11 months
control-mmonitormonitoringhera
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