Borys Tymchenko
Senior Deep Learning Research Engineer at NVIDIA
Tel-Aviv District, Israel
Summary
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Senior🎓
Top SchoolBorys Tymchenko is a Senior Deep Learning Research Engineer with 11 years of experience specializing in computer vision, deep learning model optimization, and productionizing ML systems. Currently at NVIDIA after Deci AI's acquisition, he has driven high-impact projects such as DeciDiffusion (fast latent diffusion models), YOLO-NAS object detectors, and a quantization engine integrated into SuperGradients. His background spans end-to-end pipelines from data collection and labeling to model design and deployment across healthcare (OCT retinal diagnostics), industrial PPE recognition, automotive scene parsing, and body-shape reconstruction from photos. He holds a PhD in Computer Science and brings a rare blend of research depth and hands-on engineering that repeatedly squeezes orders-of-magnitude performance improvements out of models. Based in the Tel Aviv District, he also advises startups, translating conceptual ideas into production-ready ML solutions. An often-overlooked strength is his track record of establishing reproducible training pipelines and engineering practices that scale teams as well as models.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Computer sciences, Doctor of Philosophy - PhD Computer sciences at Odessa National Polytechnic University
English, German, Russian, Ukrainian, Hebrew
Stackoverflow
21reputation
32kreached
1answer
0questions
Github Skills (78)
yolov710
ros10
ros-node10
robotics10
imagenet10
openmmlab10
wrapping10
transfer-learning10
semantic-segmentation10
nodes10
mavlink9
autopilot9
object-detection9
computer-vision9
image-processing9
Programming languages (5)
Github contributions (5)
spsancti/onpu_phd_thesis
Jan 2021 - Oct 2021
Contributions:26 pushes, 1 branch in 8 months
spsancti/mvsim
May 2017 - Aug 2017
Contributions:10 PRs, 15 pushes, 6 branches in 2 months
roboticsc-libraryros-nodesimulationsimulator
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