Artem Kurylev is a Machine Learning Engineer at Roadly, Inc. since May 2022, where responsibilities include setting up GPU-based data science workspaces using Kubernetes, creating video processing pipelines, designing a Postgres + Postgis database, and developing methods for data retrieval in a FastAPI application. Previously, as a Computer Vision Engineer at CLOFIT ME from October 2020 to May 2022, Artem implemented various components for 2D virtual try-on technologies, managed data preprocessing, and established an auto-labeling pipeline with Airflow. Artem's earlier experience includes roles at EORA, focusing on algorithms for meter reading recognition and model development for background removal, along with internship experience in face landmark detection. Artem holds a Master of Science in Data Science from Innopolis University and a Bachelor of Science in Software Engineering from Volgograd State Technical University.
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