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.
15 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
caffe10
text-recognition10
apidoc10
python10
image-classification10
model-driven10
css10
machine-learning10
flask-ask10
model-building10
data-loading10
deep-learning10
api10
html10
Programming languages (14)
Github contributions (5)
the-full-stack/fsdl-text-recognizer-2021-labs
Jan 2021 - Jun 2021
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:59 commits, 18 PRs, 46 pushes in 4 months
Contributions summary:Sergey appears to have contributed to a deep learning project, primarily focusing on data loading and model definition within a full-stack deep learning context. Their commits include changes to data modules, such as MNIST, and model definitions using PyTorch. They also made changes to training scripts and configuration files. These contributions suggest involvement in various aspects of the project, from data handling to model implementation and experimentation.
deep-learningfull-stack
the-full-stack/fsdl-text-recognizer-project
Feb 2019 - May 2020
Lab materials for the Full Stack Deep Learning Course
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:61 commits, 8 PRs, 50 pushes in 1 year 3 months
Contributions summary:Sergey's commits primarily focused on linting and code formatting improvements across multiple files in the project. These changes included modifications in both the `api` and `text_recognizer` directories and in notebook files, suggesting involvement in both backend and potentially frontend aspects of the project. The changes indicate a focus on code quality and maintainability throughout the project.
deep-learningfull-stack
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