PeopleofSuperintelligence

Builder

Sergey Karayev

Sergey Karayev is a computer scientist and software builder whose work spans computer vision, deep-learning frameworks, AI-assisted grading, and coding-agent tools. He did undergraduate research at the University of Washington and completed a computer-science PhD at UC Berkeley in 2014, focused on computer vision. In 2014, he co-authored Caffe, a framework for deep learning; the team received the Everingham Prize in 2017. He helped launch Gradescope as an AI-assisted grading platform, which Turnitin acquired in 2018; by 2020, he led STEM AI work there and co-developed Full Stack Deep Learning courses and a 2023 LLM bootcamp. As of October 2026, he is a co-founder of Superconductor, which builds a shared AI workspace for teams and coding agents.

Now at
Superconductor
Works
32
Citations
16,210
h-index
12

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. By 2014

    A computer-vision doctorate

    He does undergraduate research at UW Seattle before completing a computer-science PhD at UC Berkeley in 2014, focused on computer vision.

  2. 2014–2017

    The Caffe team’s Everingham Prize

    He co-authors Caffe, a BSD-licensed C++ framework for training and deploying convolutional neural networks, in 2014. The Caffe team receives the Everingham Prize in 2017 for its open-source deep-learning framework.

  3. 2014–2018

    Co-founding Gradescope

    With Arjun Singh and Pieter Abbeel, he develops Gradescope from an AI course’s grading work and forms a company to launch it in 2014. Turnitin acquires the AI-assisted grading platform in 2018.

  4. 2018–2023

    AI for STEM and LLM courses

    By 2020, he is Head of STEM AI at Turnitin and writes about design principles for AI-assisted grading. He co-develops Full Stack Deep Learning courses offered from 2018 to 2022 and teaches a lecture in its 2023 LLM Bootcamp.

  5. As of October 2026

    Building Superconductor

    He is a co-founder of Superconductor, where he builds a shared AI workspace for teams and coding agents.

Sources and credits

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  1. Gradescope: Taking the pain out of grading engineering.berkeley.edu. Checked 15 October 2026.
  2. Sergey Karayev | Home sergeykarayev.com. Checked 15 October 2026.
  3. Caffe: Convolutional Architecture for Fast Feature Embedding arxiv.org. Checked 15 October 2026.
  4. Turnitin Acquires Gradescope turnitin.co.uk. Checked 15 October 2026.
  5. Turnitin Tech Talk: Design Principles of AI-Assisted Grading turnitin.co.uk. Checked 15 October 2026.
  6. What’s Next? - The Full Stack fullstackdeeplearning.com. Checked 15 October 2026.
  7. Sergey Karayev | Speaker | ASU GSV Summit asugsvsummit.com. Checked 15 October 2026.
  8. What is Multiplayer AI? | Superconductor Blog superconductor.com. Checked 15 October 2026.