Alexandru Stan
Senior System Software Engineer at Framework
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAlexandru Stan is a Senior System Software Engineer with 16 years of experience designing and bringing up embedded platforms, most recently contributing to the Framework Laptop 16 Ryzen AI at Framework after a decade at Google on Chrome OS hardware bring-up, EC firmware, and testing tools. He blends low-level Linux and embedded-controller expertise with hands-on hardware work—schematics design, sensor integration for ARCore, and custom test tooling like Servo and Chameleon. His background spans firmware for medical wearables at Verily and computer-vision robotics at Harvest Robotics, and he has made open-source contributions to machine-vision tooling (SimpleCV) and game-engine back-end code. Based in Mountain View, he is comfortable moving between firmware, systems software, and hardware validation, and he often surfaces pragmatic fixes in image-processing and process-control code that improve reliability in production.
16 years of coding experience
13 years of employment as a software developer
Computer Engineering Technology, Computer Engineering Technology at Mohawk CollegeComputer Science, Computer Science at University of Waterloo
Github Skills (12)
computer-vision10
opencv10
game-development10
game-engine10
python10
image-processing10
game-dev10
cvs10
data-structure9
algorithm9
data-structures9
algorithms9
Programming languages (12)
Github contributions (5)
aichallenge/aichallenge
Jan 2011 - Dec 2011
The source code that drives the AI Challenge
Role in this project:
Back-end Developer
Back-end DeveloperContributions:278 commits, 1 comment in 11 months
Contributions summary:Alexandru's contributions focused on refactoring and merging the worker folder, likely related to the game engine's core logic. This involved code changes in `engine.py` and `planet_wars/worker/engine.py`, suggesting improvements to the core game mechanics or the system's ability to process information. The changes in `map.py` and `ant_map.py` indicate the user was working on the underlying data structures related to the game's state, further highlighting back-end development tasks.
pythonartificial-intelligencemachine-learning
sightmachine/SimpleCV
Oct 2012 - May 2013
The Open Source Framework for Machine Vision
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits in 6 months
Contributions summary:Alexandru primarily contributed to the SimpleCV library, focusing on image processing functionalities. Their work included fixing and enhancing image operators for scalar operations, adding an interpolation argument to the `scale` function, and modifying the stereo calibration method to accept a parameter for the chessboard size. They also addressed a critical issue related to killing a process within JpegStreamer. The contributions demonstrate expertise in manipulating image data using OpenCV.
pytorchpythonvisiondeep-learningcomputer-vision
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