Ryan Sepassi
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Sepassi is a senior software engineer with 13 years of experience building scalable systems and infrastructure, most recently as a Staff Software Engineer on Google Brain where he worked on Pathways under Jeff Dean and Sanjay Ghemawat. He has deep backend and ML tooling experience, contributing to flagship open-source projects like JAX—improving thread-safety, profiling, and compilation logging that help JAX run reliably on GPU/TPU stacks. Prior roles span core engineering at Google, hands-on teaching as an instructor for intensive bootcamps, and analytical beginnings in equity research, giving him a rare mix of technical depth, pedagogy, and product-minded analysis. Based in Palo Alto, he specializes in making low-level systems robust and observable while mentoring engineers and shaping curriculum. Colleagues describe him as a pragmatic problem-solver who moves between research code and production-quality systems with equal fluency.
13 years of coding experience
10 years of employment as a software developer
A.B, History (focus on financial and economic history), A.B, History (focus on financial and economic history) at Harvard UniversityHigh School Diploma, High School Diploma at The Buckley School
Github Skills (6)
jax10
python10
back-end-development10
numpy10
profiling9
multithreading8
Programming languages (9)
Github contributions (5)
jax-ml/jax
Apr 2021 - Feb 2022
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 8 commits, 12 PRs in 10 months
Contributions summary:Ryan contributed to the JAX library by implementing and improving core functionalities. Their work included making mesh thread-safe, checking array-like objects, and adding profiler annotations to internal functions. They also fixed pytype errors and updated compilation cache logging to include individual and cumulative hashes. Furthermore, the user incorporated the use of `profiler.annotate_function` throughout the codebase.
pytorchpythonjitautomatic-differentiationgpu
rsepassi/ulid-zig
Aug 2023 - Oct 2024
Contributions:4 releases, 1 review, 6 PRs in 1 year 2 months
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