Dmitry Kurtaev
AI Software Engineer at YADRO
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
Summary
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Rockstar🎓
Top School
Top expert inAutonomous Robotics and Computer Vision Development
Dmitry Kurtaev is an AI software engineer with a decade of experience specializing in computer vision and neural network inference, known for surgical precision in OpenVINO and OpenCV. He has driven backend, QA, and ML engineering work on flagship open-source projects—contributing extensive Java test infrastructure improvements to OpenVINO and expanding OpenCV’s DNN coverage with real-world model support. At Intel he enabled ARM and Raspberry Pi as targets for OpenVINO, built demos and CI integrations, and proposed hundreds of upstream PRs that helped productionize inference on edge platforms. Now at YADRO he continues RISC-V experiments while maintaining his habit of pushing practical open-source improvements. Trained in mathematics and computer science, he combines deep theoretical grounding with hands-on systems work, often surfacing platform-specific fixes (memory, Halide, OpenCL) that few contributors notice.
10 years of coding experience
5 years of employment as a software developer
Full Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at Free Code CampMaster’s Degree, Mathematics and Computer Science, Master’s Degree, Mathematics and Computer Science at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Stackoverflow
823reputation
50kreached
33answers
8questions
opencv
top-5%
Github Skills (28)
pytorch10
opencv10
c-language10
image-processing10
testing10
halide10
machine-learning10
test-framework10
inference10
cmake10
modello10
openvino10
java10
javas10
junit10
Programming languages (16)
Github contributions (5)
opencv/opencv_extra
May 2017 - Jul 2020
OpenCV extra data
Role in this project:
ML Engineer
ML EngineerContributions:54 reviews, 132 commits, 151 PRs in 3 years 2 months
Contributions summary:Dmitry's commits focus on adding test data and model definitions for various deep learning layers and models related to computer vision and neural networks. This includes importing and testing layers from Torch, adding test cases for TensorFlow models, integrating OpenFace, MobileNet-SSD, and Faster-RCNN models, and generating data for specific layers such as subpixel and resize nearest neighbor. The contributions significantly expand the testing coverage for the OpenCV DNN module, particularly in areas related to deep learning model import and inference.
pythoncomputer-visionextra-data
opencv/opencv
Jun 2017 - Dec 2022
Open Source Computer Vision Library
Role in this project:Back-end Developer
Back-end DeveloperContributions:1108 reviews, 379 commits, 475 PRs in 5 years 7 months
Contributions summary:Dmitry contributed to the Open Source Computer Vision Library by adding support for Halide, a domain-specific language for image processing. They worked on integrating Halide by implementing build configurations and manual search methods for the library, which is indicated by the addition of cmake files for Halide integration. The user also fixed bugs in the Halide tests and incorporated optimizations for convolutional layer weights. Further contributions include adding support for various model layers from Tensorflow.
pythonvisiondeep-learningc-plus-pluscomputer-vision
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