Anthony Cui is a software engineer with eight years of hands-on experience building performant, practical systems—from user-facing shopping flows at DoorDash to low-level GPU support in Google's gVisor. Currently at Optiver and a Harvard CS student (Harvard ’25), he combines strong backend and DevOps skills with product-minded frontend work, having reduced a grocery-cart build time by over 85% and driven features end-to-end. His open-source contributions to the high-profile gVisor project include adding Nvidia UVM ioctl support and refactoring tooling to fix concurrency issues, showing comfort working close to kernels and drivers. He also has a track record of teaching and mentoring as a CS124 course assistant and of launching community-focused projects, reflecting both technical depth and a pragmatic focus on long-lived solutions.
8 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Weston High School
Bachelor of Arts - BA Computer Science and Statistics, Bachelor of Arts - BA Computer Science and Statistics at Harvard University
Contributions summary:Anthony contributed to the gVisor project by implementing support for Nvidia UVM ioctls, specifically related to memory migration and range management for GPU workloads. They added an ioctl sniffing tool, enabling the identification of unsupported ioctl calls, and integrated simple functionality tests for the tool. Furthermore, the user refactored the ioctl_sniffer tool to leverage sockets instead of pipes, which resolved concurrency issues. The user also addressed issues with the nvproxy relating to parity with Nvidia driver structs.
The Ersilia Model Hub, a repository of AI/ML models for infectious and neglected disease research.
Contributions:13 reviews, 18 PRs, 48 pushes in 2 months
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