Andrey Senin
Tech Lead, Machine Learning Infrastructure at Google
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAndrey Senin is a Senior Software Engineer and ML infrastructure architect in the San Francisco Bay Area with 13+ years of hands-on experience building scalable detection systems and computer vision software. At Google he designs infrastructure and models to detect fake engagements on YouTube, while his earlier work as the first employee at Itseez (now part of Intel) combined leadership of small teams with deep C++/CUDA/ARM optimizations for computer vision and IoT. He’s a seasoned systems engineer comfortable across low-level performance tuning, distributed HPC stacks, and production ML pipelines, and has contributed to the flagship OpenCV project by improving Ximea camera support and frame-rate handling. A PhD-trained developer with a perfect master’s GPA, Andrey blends rigorous academic depth with pragmatic delivery—an engineer who moves from algorithm design to cross-platform, production-ready implementations.
13 years of coding experience
15 years of employment as a software developer
Robotics Software Engineer, Robotics Software Engineer at UdacityPh.D. Coursework in Computer Science Computer Science, Ph.D. Coursework in Computer Science Computer Science at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
English, Russian, French
Github Skills (8)
computer-vision10
opencv10
c-language10
cprogramming-language10
image-processing9
sys9
cmake9
embedded9
Programming languages (1)
Github contributions (5)
opencv/opencv
Jun 2013 - Apr 2015
Open Source Computer Vision Library
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:7 commits, 6 PRs, 6 comments in 1 year 10 months
Contributions summary:Andrey primarily contributed to the OpenCV library by implementing and fixing support for Ximea cameras. Their work involved modifying the `cap_ximea.cpp` and `OpenCVFindXimea.cmake` files to address issues related to camera initialization, image format handling, and parameter mapping. These modifications included improving frame rates for black and white cameras and correcting the mapping of Ximea camera parameters within the OpenCV framework.
computer-visionc-plus-plusdeep-learningimage-processing
SeninAndrew/opencv
Jan 2015 - Apr 2015
Contributions:16 pushes, 1 branch in 2 months
image-processingpythoncomputer-visionvision
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