Summary
Alexey Artemov is a computer vision research engineer with over a decade of experience building geometric and 3D vision systems, now working at Apple after senior research roles at TUM and Skolkovo. He holds a PhD in applied math and computer science and has seven years of post‑doctoral research, co-authoring 45+ papers including ten at top venues like CVPR, ECCV, ICCV and SIGGRAPH. Alexey has led and scaled research teams (20–30 members), secured multi‑year funding, and turned academic advances into deployed systems—from autonomous driving prototypes to a production image moderation pipeline that generated $300K annually. His work has been recognized with national and international awards (Ilya Segalovich, SGP Best Dataset) and spans both foundational theory and applied reconstruction and scene understanding. Based in Munich, he focuses on geometric & CAD deep learning and brings a rare combination of large-scale production engineering and prolific academic output. An early contributor to large scientific data systems at CERN and monitoring infrastructure at Yandex, he thrives on projects that bridge massive datasets with principled ML.
11 years of coding experience
10 years of employment as a software developer
Moscow Lyceum of Information Technologies (LIT)
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Institute of Systems Analysis, Russian Academy of Sciences
Master of Science - MS Applied Mathematics, Master of Science - MS Applied Mathematics at Yandex School of Data Analysis
Lomonosov Moscow State University
English, German, Russian