PeopleofSuperintelligence

Researcher

Alexey Bochkovskiy

Also known as Aleksei Bochkovskii

Alexey Bochkovskiy is a computer-vision researcher whose work spans real-time object detection and depth estimation. He earned an engineer's degree in physics and chemistry at the National University of Science and Technology in 2008, then held engineering roles at OVP Soft, Dolomant, Academia Sinica and Intel. He coauthored YOLOv4, Scaled-YOLOv4, YOLOv7, Vision Transformers for Dense Prediction and Apple's Depth Pro. He is a machine-learning engineer at Apple, where he has worked since 2022.

Now at
Apple
Works
7
Citations
27,537
h-index
5
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2001–2008

    An engineering degree

    From 2001 to 2008, he studies in the Faculty of Physics and Chemistry at the National University of Science and Technology's Institute of New Materials and Nanotechnology and earns an engineer's degree.

  2. 2010–2020

    OVP Soft and Dolomant

    From 2010 to 2013, he is Head of Direction at OVP Soft. From 2013 to 2020, he works as a lead machine-learning engineer at Dolomant.

  3. 2019–2022

    Academia Sinica and Intel

    From 2019 to 2022, he serves as a lead machine-learning engineer at Academia Sinica. From 2020 to 2022, he works as an ML research engineer at Intel.

  4. 2020

    YOLOv4 and Scaled-YOLOv4

    In 2020, he coauthors YOLOv4: Optimal Speed and Accuracy of Object Detection. His GitHub account hosts the Darknet project for YOLOv4 and Scaled-YOLOv4. He also coauthors Scaled-YOLOv4: Scaling Cross Stage Partial Network.

  5. 2021

    Vision transformers for dense prediction

    In 2021, he coauthors Vision Transformers for Dense Prediction, a paper that introduces dense vision transformers.

  6. 2022

    YOLOv7 object detection

    In 2022, he coauthors YOLOv7, a trainable method for real-time object detection. The paper reports speed and accuracy gains over known object detectors.

  7. 2024–2025

    Depth Pro at ICLR

    Apple publishes Depth Pro in October 2024, with Aleksei Bochkovskii among its authors. At ICLR 2025, the paper presents a model for zero-shot metric monocular depth estimation.

  8. Since 2022

    Machine-learning engineer at Apple

    He joins Apple as a machine-learning engineer in 2022 and continues in the role.

Career

  1. Since 2022AppleMachine-learning engineer
  2. 2020–2022IntelML research engineer
  3. 2019–2022Academia SinicaLead machine-learning engineer
  4. 2013–2020DolomantLead machine-learning engineer
  5. 2010–2013OVP SoftHead of Direction

Education

  1. 2008National University of Science and TechnologyEngineer's degree

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. 5 of the 25 people with the most-cited recent papers also lead on career citationsIncludes Alexey Bochkovskiy. We compare citations to 2023–2025 papers with career citations and h-index, after correcting reviewed publication-date errors: who leads, when they started and where they work.
  2. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Apple. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  3. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Apple. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.
  4. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes Apple. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Alexey Bochkovskiy yet. Send us a free-licensed photo.

  1. Alexey Bochkovskiy (Apple): Object Detection — Lacuna lacuna.tiptreesystems.com. Checked 20 October 2026.
  2. AlexeyAB (Aleksei Bochkovskii) · GitHub github.com. Checked 20 October 2026.
  3. YOLOv4: Optimal Speed and Accuracy of Object Detection arxiv.org. Checked 20 October 2026.
  4. Scaled-YOLOv4: Scaling Cross Stage Partial Network arxiv.org. Checked 20 October 2026.
  5. Vision Transformers for Dense Prediction arxiv.org. Checked 20 October 2026.
  6. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors arxiv.org. Checked 20 October 2026.
  7. Depth Pro: Sharp Monocular Metric Depth in Less Than a Second - Apple Machine Learning Research machinelearning.apple.com. Checked 20 October 2026.
  8. Depth Pro: Sharp Monocular Metric Depth in Less than a Second | ML Anthology mlanthology.org. Checked 20 October 2026.