Sergey Karayev
Co-Founder at Superconductor
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top School
Top expert inDeep Learning and Computer Vision Technologies
Sergey Karayev is a founder and AI engineer with 14 years of experience building full-stack machine learning products and developer-friendly tools from research to production. Based in San Francisco, he co-founded Gradescope and now leads Superconductor, a startup that automates engineering work through collaborative AI agents and live previews designed for teams and mobile-first workflows. His background blends academic rigor (PhD in CS from UC Berkeley) with hands-on engineering across deep learning stacks, from image classification work in Caffe to PyTorch-based model and data-module development. Sergey is a repeat educator and organizer for Full Stack Deep Learning, translating best practices into bootcamps and university courses. He also has a track record of improving code quality, API reliability, and deployment pipelines in well-known open projects like the Full Stack Deep Learning repos. Notably, his work often focuses on making complex ML systems frictionless and multiplayer—so non-engineers can participate directly in the delivery loop.
14 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, BerkeleyBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of Washington
English, Russian
Github Skills (35)
pytorch10
text-recognition10
caffe10
apidoc10
python10
image-classification10
model-driven10
css10
machine-learning10
flask-ask10
model-building10
data-loading10
deep-learning10
api10
html10
Programming languages (10)
Github contributions (5)
gradescope/fsdl-text-recognizer-project
Jul 2018 - Nov 2018
Full Stack Deep Learning August 2018 Bootcamp Project (Public)
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:18 commits, 32 pushes, 1 branch in 3 months
Contributions summary:Sergey primarily focused on improving the text recognition API and related functionalities, as well as addressing dependencies for various labs within the project. Their contributions include refining the API's predict functionality, implementing test cases for API endpoints, and updating the docker build process to address build issues. The user also made improvements to the image processing pipeline to boost performance. Additionally, the user worked on generating support files for the project.
pythonldaaugustdeep-learningfull-stack
the-full-stack/website
Feb 2021 - Dec 2022
Source for https://fullstackdeeplearning.com
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:74 commits, 22 PRs, 194 pushes in 1 year 11 months
Contributions summary:Sergey primarily contributed to the website's front-end and design aspects. Their work involved updating the website's styling, implementing UI elements, and optimizing the site's social media embeds. The user also made changes to the website's home and cloud GPU pages, showcasing their involvement in multiple areas of the project. These updates aimed to enhance the site's user experience and improve its visual presentation.
docker
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