Ivan Zaitsev
IC6 at Meta
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolIvan Zaitsev is a software engineer based in the San Francisco Bay Area with three years of professional experience building production-grade systems at Meta/Facebook, currently contributing as IC6 on AR/MR experiences. He blends backend systems expertise—particularly C++ and build/release tooling—with hands-on work maintaining PyTorch’s backend integration, resolving merge conflicts, and stabilizing complex GPU-accelerated codebases. As a former tech lead for Virtual Hiring Events and an early contributor to Jobs on Facebook, he has experience taking features from design to reliable deployment at scale. A Cornell-trained mathematician and computer scientist (4.05 GPA), he pairs rigorous algorithmic thinking with practical engineering instincts. Colleagues rely on him for quietly fixing thorny infra issues that keep large open-source projects like PyTorch healthy and in sync with internal repositories.
3 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics and Computer Science, 4.05, Bachelor of Arts (B.A.), Mathematics and Computer Science, 4.05 at Cornell University
English, Russian
Github Skills (11)
version-control10
build-system10
c-language10
cprogramming-language10
debug9
debugging9
tensor8
machine-learning8
python8
gpu7
neural-network7
Programming languages (7)
Github contributions (5)
pytorch/pytorch
Aug 2022 - Dec 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
Back-end Developer
Back-end DeveloperContributions:142 reviews, 12 commits, 92 PRs in 3 months
Contributions summary:Ivan primarily contributes to the PyTorch backend, focusing on fixing bugs, maintaining code synchronization with internal Meta repositories, and addressing build issues. Their work involves resolving merge conflicts and reverting problematic changes. The user demonstrates proficiency in C++ and related tooling, with a focus on internal infrastructure and ensuring the smooth operation of the PyTorch build and release processes.
pythongpu-accelerationdeep-learninggpunumpy
izaitsevfb/pytorch
Jun 2022 - Aug 2024
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:28 pushes, 21 branches in 2 years 1 month
pythongpu-accelerationdeep-learninggpuacceleration
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.