Robert Bradshaw
Software Engineer at Google
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top School
Top expert inDistributed Data Systems and Analytics Technology
Robert Bradshaw is a seasoned software engineer based in Redmond with 20 years of experience building high-performance backend systems at Google. He applies deep mathematical training (Ph.D. level) and a background in linguistics to design robust data-processing infrastructure, with notable open-source contributions to heavyweight projects like Apache Beam, Cython, and Google Cloud Dataflow. His work emphasizes type safety, serialization, and C++/TypeScript integration to squeeze performance and maintainability out of SDKs and compilers. Known for thoughtful refactors and low-level improvements, he often operates at the intersection of compiler internals and distributed streaming systems.
19 years of coding experience
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at University of WashingtonBachelor of Science (BS), Mathematics and Linguistics, Bachelor of Science (BS), Mathematics and Linguistics at Brigham Young University
French
Github Skills (21)
c-language10
python10
typescript10
data-serialization10
java10
serialization10
javas10
computer-engineering10
cython10
typescript-types10
typescripts10
cprogramming-language10
apache-beam10
template-metaprogramming9
c119
Programming languages (12)
Github contributions (5)
apache/beam
Feb 2016 - Jan 2023
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1493 reviews, 2350 commits, 2205 PRs in 7 years
Contributions summary:Robert's commits primarily focus on TypeScript code changes, with modifications to files related to external transforms, worker operators, and coders within the Apache Beam project. Their contributions include cleaning up and refactoring code, implementing new coder features, and addressing issues related to type safety and data serialization, specifically for improving the performance and efficiency of these components. The user's work demonstrates a focus on the SDK's underlying infrastructure, with an eye towards improved performance and maintainability.
golangpythonstreaming-databeambatch
cython/cython
Jan 2007 - Sep 2022
The most widely used Python to C compiler
Role in this project:Back-end Developer
Back-end DeveloperContributions:30 reviews, 2729 commits, 223 PRs in 15 years 11 months
Contributions summary:Robert primarily focused on implementing enhancements to the Cython compiler and build process, with a strong emphasis on C++ integration and type management. Their contributions included introducing support for C++ template functions, automatic conversion between Python and C strings, and improving the handling of nested data structures for performance. The user's work involved extending type parameter deduction and fine-tuning the internal details of the compiler for improved code generation and error reporting.
cpython-extensionscpppythonpython-bindingsbig-data
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