Dave Bort
Software Engineer at Meta
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolDave Bort is a seasoned software engineer and technical leader with over two decades of experience building operating systems, distributed infrastructure, and device firmware across companies like Google, Meta, and pioneering startups. He co-authored the Dalvik VM for Android 1.0, helped write the original T-Mobile Sidekick kernel, and contributed to Google Fuchsia and Borg, blending low-level kernel work with build/test and data-processing infrastructure. Known for pragmatic leadership and tight product-engineering partnerships, he creates processes that scale teams and shipping velocity in resource-constrained, rapidly changing environments. An active open-source contributor, his recent work includes PyTorch refactors improving serialization and reducing dependencies, reflecting a sustained focus on maintainable, high-impact systems engineering. Based in the Greater Seattle Area, he pairs deep systems expertise with a long track record of shipping foundational software used by millions.
18 years of coding experience
23 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Rochester Institute of TechnologyLake Ridge Academy
Stackoverflow
984reputation
123kreached
16answers
2questions
Github Skills (20)
pytorch10
c-language10
python10
data-serialization10
serialization10
flatbuffers10
cprogramming-language10
machine-learning9
tensor9
apidoc8
deep-learning8
api8
neural-network8
gpu7
autograd7
Programming languages (9)
Github contributions (5)
pytorch/pytorch
Mar 2022 - Aug 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
Back-end Developer
Back-end DeveloperContributions:18 reviews, 19 commits, 14 PRs in 5 months
Contributions summary:Dave focused on refactoring and improving the flatbuffer serialization and loading mechanisms within the PyTorch framework. Their work involved removing dependencies on deprecated functions and headers, creating a new `DetachedBuffer` type, and migrating code to use the new APIs. This included modifications to the flatbuffer loader, serializer, and test files, resulting in improved code maintainability and reduced dependencies on external libraries. The user also updated tests and ensured compatibility with existing functionalities.
gpu-accelerationneural-networkpythonautogradgpu
dbort/executorch
Oct 2023 - Feb 2025
End-to-end solution for enabling on-device AI across mobile and edge devices for PyTorch models
Contributions:393 pushes, 239 branches in 1 year 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.