IvanKopylov

I lead a team of AI engineers at the MWS AI Applied Solutions Center: 15+ computer vision systems in production. I teach at HSE University and MIPT and supervise the AI robotics course at Yandex Lyceum.

I take computer vision and generative models to production at MWS AI — and teach the next engineers to do it at HSE and MIPT.

Now

Work

Computer vision systems running in production at MWS AI — the full cycle from research to scaling. Total project budget above 200M RUB.

About

Ivan Kopylov with a microphone on stage at Digital Innopolis Days
Digital Innopolis Days, speaker

Computer vision engineer, at MTS since 2019: the CV group of the Machine Learning department at MTS AI, the competence center, the Computer Vision Center — from engineer to Principal Computer Vision Engineer. Along the way I shipped more than 15 systems to production — from OCR for a national library to video moderation and industrial defect detection — with synthetic datasets and augmentation pipelines as a specialty. Since July 2026 I lead the Applied Solutions Center at MWS AI.

I teach in parallel. At HSE I run MLOps, computer vision, advanced video analytics and GPU computing, teach at the Center for Top AI Specialists, supervise graduation theses — 21 defended in two years — and serve as deputy head of the Robotics Lab: perception systems, semantic navigation, SLAM, plus the team, budget and industry partnerships. At MIPT I am an associate professor at the Higher School of Software Engineering, and for Yandex Lyceum I designed an AI robotics course. In 2025 and 2026 the students of the Faculty of Computer Science voted me Best Teacher, and in 2025 my colleagues at MWS named me Teacher of the Year.

Education: Bauman Moscow State Technical University, technical physics (2013–2017); master’s in management, Moscow International Academy (2022–2024); Stanford’s Machine Learning course on Coursera (2019). Five physics publications, including Journal of Physics: Conference Series and Journal of Surface Investigation: X-ray, Synchrotron and Neutron Techniques. English at C1. I organise meetups and conferences and mentor young engineers.

  • Computer vision
  • MLOps
  • Generative models
  • Video analytics
  • Intelligent robotics
  • Synthetic data
  • GPU computing
  • Team leadership

Stack

  • PyTorch
  • TensorFlow
  • TensorRT
  • Triton Inference Server
  • ONNX
  • OpenCV
  • YOLO v8–v11
  • ViT
  • ConvNeXt
  • SigLIP
  • CLIP
  • DINO
  • SAM
  • UNet
  • Diffusion models
  • Docker
  • ClearML
  • C++
  • Python
  • SQL
  • Ivan Kopylov with the Teacher of the Year award at the Digital Stars 2025 ceremony
    Digital Stars 2025, Teacher of the Year
  • Ivan Kopylov on stage at the Dvision meetup
    Dvision, on stage
  • Ivan Kopylov speaking with a microphone in a loft venue
    Talk
  • Ivan Kopylov recording a podcast
    Podcast recording
  • Ivan Kopylov with a microphone among discussion participants
    Discussion
  • Ivan Kopylov in an academic gown at the HSE graduation
    Graduation, HSE
  • Ivan Kopylov at the Dvision meetup venue
    Dvision, computer vision meetup
  • Ivan Kopylov with a phone in neon light
    Between sessions
  • Ivan Kopylov in conversation at a reception
    On the sidelines
  • Ivan Kopylov, self-portrait
    Self-portrait

Path

2017 — 2026 Scroll horizontally
2017

Bauman University

Bachelor’s degree in technical physics. Papers on the physics of magnetism in Russian and international journals.

2019

MTS

Joined MTS as a computer vision engineer: first systems for one of the country’s largest technology companies.

2020

MTS AI

Lead developer of the CV group, Machine Learning department: OCR for a national library, video moderation, cinema poster automation.

2022

CV competence center

Lead developer of the computer vision competence center at MTS AI: industrial defect detection, image analytics.

2023

HSE Faculty of Computer Science

From March — lecturer at the Faculty of Computer Science: Computer Vision, C++ and Python, in English.

2024

Senior lecturer

Big Data and Information Retrieval School, HSE. Courses “Operation of Machine Learning Models” and “Image Analysis and Computer Vision”. Master’s in management. MTS Day at HSE.

2025

A year of recognition

HSE Best Teacher by student vote, Teacher of the Year at the MWS Digital Stars awards and Best Deal of Q3. Associate professor at MIPT; an AI robotics course for Yandex Lyceum — a pilot at 11 sites in 8 regions. A voice-controlled robot built at Sirius.

2026

Technical Lead

Computer Vision Center, then the Applied Solutions Center at MWS AI. At HSE — deputy head of the Robotics Lab, academic supervisor of the HSE × MTS master’s programme and lecturer at the Center for Top AI Specialists. HSE Best Teacher for the second year running. 17 thesis students and a VLA-model project at “Big Challenges” in Sirius.

Recognition

Teaching

Bachelor’s and master’s courses at the HSE Faculty of Computer Science, the Center for Top AI Specialists, MIPT and Yandex Lyceum — from a first Python script to models running in production. Five of the courses were built from scratch.

  • 14courses
  • 400+students
  • 4.8out of 5 student rating
  • 21theses supervised

Talks and projects

  • Project “A VLA agent for object manipulation” at Big ChallengesProject lead, Sirius, July 2026
  • Weak spots of visual AI modelsHSE FCS × Sber meetup, Minsk, March 2026
  • MWS masterclass: building AI agents from scratchHSE Computer Science Days, May 2026
  • Computer vision for retail: lectures on the MTS trackHSE Summer School on Data Analysis, 2025–2026
  • AI robotics course for Yandex LyceumYandex Education, academic supervisor; pilot at 11 sites in 8 regions, since September 2025
  • Lecture series on intelligent roboticsHSE Robotics Lab and MTS base department, December 2025
  • AI track cases for the RuCode festivalTask author from MWS AI, 2025
  • AI content moderation: balancing accuracy and speedHSE FCS bar lecture series, May 2025
  • MTS Day at HSEComputer Vision Engineer, MTS AI, December 2024

Thesis supervision: 21 defences in two years

  • Cooperative scene perception in a group of autonomous agents through visual information exchange2026, MSc “Research and Entrepreneurship in AI”
  • Embedding robust digital watermarks in video for copyright protection2026, MSc “Research and Entrepreneurship in AI”
  • Design and development of an application with an AI agent for IoT control in a smart-home ecosystem2026, MSc “Research and Entrepreneurship in AI”
  • Fusing satellite maps with onboard camera data to refine geolocation in civil aviation2026, MSc “Research and Entrepreneurship in AI”
  • Robustness of SOTA face liveness detection algorithms to visual augmentations2026, MSc “Data Analysis in Development”
  • A service for visualising interior finishes with generative models based on a BIM model2026, MSc “Data Analysis in Development”
  • Principles of invisible watermarking for video analytics2026, MSc “Data Analysis in Development”
  • Adapting lidar and 2D map fusion to applied indoor robotics tasks2026, MSc “Data Analysis in Development”
  • A multi-agent system for building ontologies of financial products2026, MSc “Data Analysis in Development”
  • A multimodal architecture for satellite image segmentation robust to seasonal and spectral changes2026, MSc “Data Analysis in Development”
  • Synthesising street-scene panoramas from satellite data2026, MSc “Financial Technologies and Data Analysis”
  • Object detection in histopathology images with transformer architectures2026, MSc “Master of Data Science”
  • Navigation of an autonomous mobile robot over a map of an industrial site2026, BSc “Applied Data Analysis” — team project, two theses
  • A computer vision system for object detection and safe navigation of an autonomous mobile robot2026, BSc “Applied Data Analysis”
  • Visual image stabilisation and operator-following for an autonomous mobile robot2026, BSc “Applied Data Analysis”
  • A whiteboard assistant robot2026, BSc “Applied Mathematics and Computer Science”
  • Automatic recognition of parking violations and licence-plate detection from images2025, MSc “Data Analysis in Development”
  • Recognising design patterns in construction documentation with deep learning2025, MSc “Data Analysis in Development”
  • Reconstructing the geometric structure of architectural space with deep learning2025, MSc “Data Analysis in Development”
  • Visitor traffic analysis with surveillance cameras2025, BSc “Applied Data Analysis”

In the press

More than twenty media mentions: I comment on the AI market, access to models and physical AI for Forbes, TASS, RIA Novosti, RBC, Rossiyskaya Gazeta and Baza.

Let’s talk

Consulting on CV and AI projects, speaking engagements, educational programmes, press commentary.

ivan@kopylov.ai