Matvei Popov in

Matvei Popov

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Machine Learning Engineer at Roboflow
📍 San Francisco, California, United States

Matvei Popov is a Machine Learning Engineer at Roboflow and a Computer Science student at Trinity University. His work focuses on creating advanced computer vision models, including state-of-the-art detection transformers like RF-DETR. His research background includes deep learning for 3D animation, genomics, and analyzing the impact of AI on media.

Matvei is passionate about leveraging AI to create a positive impact, with a specific interest in developing tools to help people with disabilities. He is motivated by improving the explainability, understanding, and capability of artificial intelligence to advance humanity forward.

He developed a project called Navigational Artificial Intelligence (NAI) which enables people to control their computers using only their eye movements.

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Experience
2 Years
Current Role
Machine Learning Engineer
Job Level
Junior
Location
San Francisco, California, United States
Personality Overview

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Priorities

Topics Matvei cares about

Computer Vision Models
He is actively working on and releasing new models like RF-DETR and contributes to benchmarks such as Roboflow100-VL to test Vision-Language Models.
Deep Learning Research
His university research includes automating 3D character motion stylization and analyzing media coverage of AI using large language models.
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Career

Work history

1-2025
Machine Learning Engineer
Roboflow
5-2023 - 1-2025
Student AI Researcher
Trinity University
5-2024 - 8-2024
Research Intern
InstaDeep
9-2022 - 5-2024
ACM Tutor
ACM, Association for Computing Machinery
1-2023 - 8-2023
AI/ML Intern
Forward Edge-AI
In the press

Media appearances

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Education
8-2021 - 12-2024
Bachelor's degree
Trinity University
9-2018 - 6-2021
High School Diploma
Ribet Academy
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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