Brandon Castellano
Software Engineer, Fuchsia Local Storage at Google
Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolBrandon Castellano is a seasoned software engineer with 14 years of experience building embedded systems, computer vision solutions, and operating system storage components, currently contributing to Fuchsia's local storage and VFS libraries at Google. He has a strong C/C++ and Rust background from developing next-generation flash filesystems and safety-critical embedded firmware for autonomous vehicles at General Motors. His work blends low-level systems engineering with higher-level tooling—evidenced by meaningful open-source contributions to PySceneDetect where he implemented core scene-detection algorithms and improved video handling and CLI features. Brandon’s experience spans real-time control, GPGPU acceleration, and cross-platform product development, plus practical expertise in CI/CD, AutoSAR, and test-driven development for safety-critical software. Based in Ontario, he pairs academic research in hardware-implemented vision with industry-grade system design, and holds a B.E.Sc. in Electrical Engineering from Western University.
14 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering Science (B.E.Sc) Electrical Engineering, Bachelor of Engineering Science (B.E.Sc) Electrical Engineering at Western University
Stackoverflow
2,494reputation
307kreached
16answers
16questions
vba
top-5%
Github Skills (21)
algorithm10
algorithms10
opencv10
python10
video-processing10
command-line-interface10
command-line10
cli10
vba9
msword9
csv8
unit-testing8
x86-646
php6
cpu-architecture6
Programming languages (10)
Github contributions (5)
Breakthrough/PySceneDetect
Jun 2014 - Jan 2023
:movie_camera: Python and OpenCV-based scene cut/transition detection program & library.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:44 releases, 56 reviews, 984 commits in 8 years 9 months
Contributions summary:Brandon's commits focus on the core development of PySceneDetect, with contributions spanning the implementation of several new scene detection algorithms, along with adjustments to the underlying video handling via enhancements to the VideoManager class. They also added functionality for writing scene information to a CSV file and made improvements to existing CLI parsing. These commits indicate significant development work in core features and the improvement of existing components of the project.
scene-recognitionpythoncameraanalysismovie
Breakthrough/MetaBax
Jun 2013 - Mar 2014
Contributions:17 commits, 1 comment in 9 months
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