Raub Camaioni
Systems Engineer at KÄGWERKS
Alexandria, Virginia, United States
Summary
👤
Senior🎓
Top SchoolRaub Camaioni is a systems engineer with a decade of experience applying computer vision and machine learning to real-world sensor problems, currently working at KÄGWERKS and supporting situational awareness initiatives at PEO Soldier. He specializes in SLAM, monocular depth estimation, and camera stabilization, integrating perception algorithms with sensor platforms and networking. With an Electrical Engineering background from Virginia Tech and a grounding in signal processing, he bridges theory and embedded systems implementation. Raub has a practical focus on making vision systems robust in operational environments, prioritizing reliable data pipelines and low-latency processing. Colleagues rely on him to turn research-grade models into field-ready solutions that improve decision-making under constrained resources. Based in Alexandria, VA, he combines defense-oriented systems experience with a persistent interest in pushing monocular perception beyond academic prototypes.
10 years of coding experience
Electrical Engineering, Power Systems (Signal Processing Professor on Sabbatical), Electrical Engineering, Power Systems (Signal Processing Professor on Sabbatical) at Virginia Tech
Github Skills (32)
python-bindings9
programming-language9
cpython9
python9
cpp8
rust8
c-compiler8
cython8
plugin7
compiler6
swig6
api6
big-data6
cpython-extensions6
ffmpeg6
Programming languages (5)
Github contributions (5)
RaubCamaioni/CythonPEG
Jul 2023 - Mar 2025
Parsing Expression Grammer (PEG) for Cython: Automatically Generate Python Stub Files from Cython code
Contributions:1 PR, 52 pushes, 1 branch in 1 year 8 months
RaubCamaioni/cotdantic
Sep 2024 - Feb 2025
Contributions:112 pushes, 2 branches, 41 tags in 5 months
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