Ryan Greenblatt is a Member of Technical Staff at Redwood Research with 11 years of software engineering experience focused on technical AI safety research and low-level systems work. He brings a strong C++ and systems background from internships in quantitative trading, robotics, and embedded tooling, and has contributed to the Zig programming language’s build system and core logic—highlighting comfort with compiler/toolchain-level problems. Known for improving performance and testability, he has accelerated ROS pipelines with OpenCL, reduced compile times in large codebases, and built CI workflows across platforms. Based in Berkeley, he combines hands-on implementation of safety-critical algorithms with practical tooling and integration expertise, often surfacing subtle bugs in core libraries and runtime paths.
11 years of coding experience
2 years of employment as a software developer
High School Diploma, Applied Mathematics, High School Diploma, Applied Mathematics at North Carolina School of Science and Mathematics
Bachelor of Science - BS, Applied Mathematics-Computer Science, Freshman, Bachelor of Science - BS, Applied Mathematics-Computer Science, Freshman at Brown University
Contributions:65 reviews, 6 commits, 8 PRs in 4 months
Contributions summary:Ryan primarily contributed to the build system and core logic of the Zig programming language. Their work involved implementing features related to build options, including the integration of write file arguments. They also fixed bugs within the standard library, such as issues with readable slices in FIFO implementations and unspecified format problems. Furthermore, the user addressed potential issues within the panic handling of the language.
Contributions:164 commits, 134 pushes, 1 branch in 4 months
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