Leonid Keselman is an experienced research scientist and engineer with 15 years building computer vision, depth-sensing hardware, and robotics systems across industry and academia. He led R&D and prototyping for Intel RealSense cameras—contributing to SDK development and sample apps in a high-profile open-source repo—and has a strong publication record on differentiable rendering with 3D Gaussians and algorithm configuration. At Stanford and CMU he combined teaching (graduate-level computer vision) with robotics research, producing conference papers and head TA experience. He blends systems- and hardware-level engineering (ASIC deployment, projector design) with cutting-edge ML and differentiable methods, making him adept at taking ideas from prototype to deployable systems. Based in San Francisco, he pairs deep academic training (PhD-level work) with practical product-focused contributions and several issued patents.
15 years of coding experience
6 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 University of California, Berkeley
Doctor of Philosophy - PhD, Artificial Intelligence and Robotics, Doctor of Philosophy - PhD, Artificial Intelligence and Robotics at Carnegie Mellon University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Contributions:25 commits, 5 pushes, 14 comments in 1 year 9 months
Contributions summary:Leonid appears to be working on the build and configuration aspects of the Intel RealSense SDK. They made changes to the build files, including `*.pro` files and the `LRS.pri` file, which suggests they were modifying project settings for different build configurations on Linux. They also added and modified files related to the PointcloudViewer, including code for graphics and depth image processing. Overall, the commits point to configuring and enhancing the SDK and associated sample applications.
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