Daniil Lysukhin
Head Of VLA Department at Navio Auto
Moscow, Moscow City, Russia
Summary
👤
Senior🎓
Top SchoolDaniil Lysukhin is a Deep Learning Engineer with 10 years of experience specializing in computer vision and perception for autonomous systems and medical imaging. Trained as a physicist at Lomonosov Moscow State University, he blends rigorous experimental background with hands-on ML engineering, from OCR and facial landmarking to 3D lidar detection and semantic segmentation. He has led and built teams and pipelines at Ozon_Tech and Evocargo, delivering production-ready models for automatic moderation, audio fingerprinting, and AV perception. More recently he has focused on visually grounded models for self-driving cars at Navio Auto while also applying CV techniques to histology at a national medical research center. Known for moving research into production, he pairs active-learning and annotation-efficient approaches with practical system design. Based in Moscow, he prefers problems where physics-style measurement thinking meets large-scale deep learning.
10 years of coding experience
9 years of employment as a software developer
Lomonosov Moscow State University
Английский
Github Skills (69)
opencv10
python10
image-processing10
deep-learning10
gpu10
gpu-acceleration10
numpy10
neural-network10
computer-vision10
tensor10
autograd10
machine-learning10
object-detection9
3d-object-detection9
cpp9
Programming languages (7)
Github contributions (5)
lysukhin/slideflow
Jul 2023 - Oct 2024
Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
Contributions:1 review, 2 PRs, 9 pushes in 1 year 3 months
lysukhin/tensorflow-object-detection-cpp
Dec 2017 - Sep 2022
A C++ example of running TensorFlow Object Detection model in live mode.
Contributions:20 commits, 14 pushes, 1 branch in 4 years 9 months
cppobject-detectiontensorflow
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