Evgenii Shchagin
Machine Learning Engineer at Moscow Institute of Physics and Technology (State University) - MIPT, Phystech
Moscow, Moscow City, Russia
Summary
👤
Senior🎓
Top SchoolEvgenii Shchagin is a Machine Learning Engineer with nine years of experience building computer vision, LLM and agentic pipelines end-to-end—from model design and training to production deployment. He has practical autonomy-vehicle and robotics expertise, having implemented DINO-WM for robotic navigation, researched foundation models like ViNT and NoMaD, and integrated perception models into ROS pipelines with Python, C++ and TensorRT. Evgenii accelerates experimentation and training at scale (e.g., 4–5x speedups using NVIDIA DALI) and has hands-on experience in data collection, cluster setup and hyperparameter tuning. An active member of the AI community, he contributes to open source, speaks at conferences and balances research with product-focused engineering. He combines rigorous academic training from MIPT with a pragmatic track record in industrial CV and autonomy projects, and maintains side projects that hint at ongoing PhD-level research interests.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Applied Mathematics and Computer Science, Bachelor's degree, Applied Mathematics and Computer Science at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Github Skills (34)
segmentation10
image-processing9
imagenet9
paddle9
semantic-segmentation9
image-segmentation9
data-augmentation9
computer-vision9
image-augmentation8
segformer8
building-blocks8
high-resolution8
pytorch8
nvidia-docker8
transformers8
Programming languages (3)
Github contributions (5)
evgeniishch/edu_projects
Oct 2016 - Mar 2018
Contributions:38 commits, 35 pushes, 1 branch in 1 year 5 months
evgeniishch/evgeniishch.github.io
Oct 2016 - Jun 2018
Contributions:29 pushes, 1 branch in 1 year 8 months
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