Grigorii Serebriakov
Chief Development Officer (CDO) at OpenCV.ai
Valencia, Valencian Community, Spain
Summary
🤩
Rockstar🎓
Top SchoolGrigorii Serebriakov is a seasoned computer vision and deep learning leader with 11 years of experience, currently serving as Chief Development Officer at OpenCV.ai from Valencia, Spain. He has led end-to-end R&D and productization of efficient neural networks for edge and IoT devices, including work on model compression, real-time CPU inference, and annotation pipelines. Previously a CTO at Xperience AI and a senior ML engineer at Intel, he combines hands-on architecture and algorithm design with team building and mentorship. His open-source contributions include advanced “net surgery” techniques for ResNet models in the widely used LearnOpenCV repository, highlighting practical expertise in receptive field analysis and visualization. Trained in information technology with an MS focused on wireless communications, he brings a rare mix of embedded systems pragmatism and research-driven innovation.
11 years of coding experience
7 years of employment as a software developer
Master of Science (MS) Information Technology Wireless communications 3G HSUPA software simulations, Master of Science (MS) Information Technology Wireless communications 3G HSUPA software simulations at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Stackoverflow
131reputation
9kreached
3answers
0questions
Github Skills (16)
computer-vision10
pytorch10
opencv10
deep-learning10
resnet10
python9
machine-learning9
mask-rcnn9
faster-rcnn9
markdown6
jupyter-notebook6
latex6
beamer6
pandoc6
resize6
Programming languages (7)
Github contributions (5)
spmallick/learnopencv
Feb 2020 - May 2020
Learn OpenCV : C++ and Python Examples
Role in this project:
ML Engineer
ML EngineerContributions:10 commits, 5 PRs, 1 comment in 2 months
Contributions summary:Grigorii contributed code related to "net surgery" techniques, demonstrating an understanding of modifying pre-trained ResNet models for computer vision tasks. The commits involve the PyTorch framework, utilizing it to perform image classification, generate class activation maps, and visualize results. The changes implement and test model modifications related to receptive field analysis and bounding box detection on image.
opencv-librarypythondeep-learningopencv3computer-vision
sergregory/vimrc
Jul 2015 - May 2020
Contributions:10 pushes, 4 branches in 4 years 11 months
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