Brian Atkinson
Software Engineer at Hiro Finance
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBrian Atkinson is a seasoned software engineer with 16 years building high-performance, scalable systems across startups and Google, now based in Sunnyvale. He has led and modernized large-scale infrastructure teams—spanning Maps, YouTube, satellite ground systems, and search/indexing for security telemetry—while driving technical debt reduction and platform reliability. Equally comfortable in backend and DevOps roles, he has a knack for cross-platform build portability and preventing low-level failures (e.g., fixes for segfaults and pipe handling) as evidenced by open-source contributions to projects like Grumpy and XLA. At Hiro Finance after a senior staff role at Digit, he blends hands-on engineering with systems thinking to simplify developer workflows and operational complexity. A former physics researcher, he brings a methodical, performance-minded approach to system design that surfaces in both debugging tricky memory issues and optimizing data pipelines.
16 years of coding experience
17 years of employment as a software developer
Holy FamilyB.S., B.S. at Creighton University
Stackoverflow
19reputation
407reached
1answer
0questions
Github Skills (38)
filesystem10
c-language10
transcode10
multiplatform10
py10
python10
paths10
file-manipulation10
testing10
windows10
build-system10
cross-platform10
java10
javas10
junit10
Programming languages (14)
Github contributions (5)
google/grumpy
Jan 2017 - Jan 2017
Grumpy is a Python to Go source code transcompiler and runtime.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 17 PRs, 2 pushes in 23 days
Contributions summary:Brian primarily contributed to the Grumpy transcompiler project by addressing issues related to 32-bit architecture compatibility and optimizing the code. Their work involved adjusting constants, modifying test cases, and refactoring code to prevent segfaults and improve the performance of core functionalities such as dict operations and tuple allocations. The user also added benchmarks to evaluate and track the performance of various operations within the Grumpy environment.
gopython
openxla/xla
Nov 2019 - Feb 2020
A machine learning compiler for GPUs, CPUs, and ML accelerators
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:13 commits in 2 months
Contributions summary:Brian primarily focused on improving the build process and cross-platform compatibility of the XLA compiler. Their work involved modifying build configurations, updating path handling logic, and integrating platform-specific dependencies to ensure the project functions correctly on Windows. The user also addressed issues related to file path resolution and temporary file creation, demonstrating a focus on code maintainability and portability. They consistently leveraged platform-specific functions to resolve these cross-platform compatibility issues.
compilermachine-learning
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