David R
Senior Software Engineer at Apple
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolDavid R is a Senior Software Engineer with 11 years of experience building and automating developer tooling and ML infrastructure across leading tech companies in the San Francisco Bay Area. He has shipped production systems and build automation at Apple and Facebook and helped operationalize model compilation and deployment workflows at OctoML. His open-source contributions include documentation and workflow improvements to high-profile projects like Apache TVM and build/release automation for PyTorch, reflecting a focus on making complex systems more usable and repeatable. Comfortable at the intersection of engineering and developer experience, he combines low-level build/debug expertise (debug symbols, object copy, CRC fixes) with clear technical communication. He holds BS and MS degrees in Computer Science from Georgia Tech and often surfaces small but impactful process improvements that speed collaboration and onboarding.
11 years of coding experience
5 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Georgia Institute of Technology
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (16)
git10
bash10
script10
build-automation10
cicd10
documentation10
sphinx9
linux9
debugging8
python8
makefile7
google-breakpad7
zip7
gnu-make7
pytorch6
Programming languages (14)
Github contributions (5)
apache/tvm
Nov 2021 - Jan 2023
Open Machine Learning Compiler Framework
Role in this project:
Technical Writer & Documentation Specialist
Technical Writer & Documentation SpecialistContributions:1 release, 458 reviews, 276 commits in 1 year 2 months
Contributions summary:David's contributions primarily focused on fixing formatting issues and making improvements to the getting started tutorial within the TVM repository. Their work involved correcting reStructuredText (rST) issues, converting note directives to admonition directives, and fixing ambiguous links, thereby improving the tutorial's readability and usability. Additionally, the user updated documentation build instructions and added a `make docs` target, which streamlines the documentation process. These changes show a focus on enhancing the documentation workflow and ensuring the tutorial's clarity.
compilermachine-learningtensordeep-learninggpu
pytorch/builder
Apr 2021 - Jul 2021
Continuous builder and binary build scripts for pytorch
Role in this project:DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:6 reviews, 13 commits, 22 PRs in 2 months
Contributions summary:David primarily focused on improving the build and release processes for the PyTorch builder repository. Their contributions include parallelizing submodule fetches, ignoring deprecation warnings, and building libtorch_cpu.so in debug mode. They also implemented debug symbol packaging, utilized object copy, and addressed issues in the CRC32 extraction, demonstrating expertise in build automation and artifact management. Furthermore, the user integrated breakpad for nightly images.
build-scriptpytorch
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