Silvano Galliani
Scientist at Microsoft
Zurich, Zurich, Switzerland
Summary
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RockstarSilvano Galliani is a scientist and software engineer based in Zurich with 11 years of experience, currently working at Microsoft since 2018. He brings deep expertise in sensor data integration and image processing, having contributed backend work to ETH3D's notable badslam project to support Azure Kinect inputs, calibration, undistortion, and reflectivity modes. Comfortable at the intersection of research and product engineering, he focuses on reliable processing pipelines for RGB‑D SLAM and related computer vision systems. His GitHub presence dates to the pre‑StackOverflow era, suggesting long-standing engagement with developer communities and hands‑on problem solving. Colleagues rely on him for translating complex sensor mathematics into robust, production-ready code.
11 years of coding experience
Github Skills (7)
computer-vision10
c-language10
cprogramming-language10
azure-kinect10
image-processing10
slam9
opencv9
Programming languages (9)
Github contributions (5)
ETH3D/badslam
Jun 2019 - Sep 2019
Bundle Adjusted Direct RGB-D SLAM
Role in this project:
Back-end Developer
Back-end DeveloperContributions:22 commits, 14 pushes in 2 months
Contributions summary:Silvano primarily contributed to the `badslam` repository by implementing and modifying features related to Azure Kinect sensor input. Their work involved adding settings tabs, depth-only modes, and reflectivity modes. The user also modified code related to camera calibration, image processing, and transformation functions, indicating a focus on sensor data integration and processing. This includes modifications related to image decoding, transformations, and undistortion.
rgb-dvisionbundlergbdirect
microsoft/HoloLens2ForCV
Aug 2020 - May 2022
Sample code and documentation for using the Microsoft HoloLens 2 for Computer Vision research.
Contributions:1 review, 30 commits, 14 PRs in 1 year 8 months
visiondeep-learningcomputer-visionmicrosofthololens
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