Bin Bao
Software Engineer at Meta
Bedford, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolBin Bao is a software engineer with 5 years of experience currently at Meta and a long history in compiler, GPU and systems work spanning Qualcomm, Adobe, and research roles. He contributes to the core of PyTorch, implementing C++ tensor handling, memory management, and AOT Inductor C interfaces for a project used widely in deep learning. His background includes PhD research on cache-aware compilation and MPI scalability and practical delivery of GPU debugger and compiler features for mobile GPUs. Bin blends deep systems and compiler expertise with hands-on backend engineering for high-performance ML frameworks, and his work often sits at the intersection of toolchain, hardware-aware optimization, and production ML infrastructure.
5 years of coding experience
14 years of employment as a software developer
Bachelor, Software Engineering, Thermal Physics, Bachelor, Software Engineering, Thermal Physics at University of Science and Technology of ChinaMaster, Computer System and Architecture, Master, Computer System and Architecture at Institute of Computing Technology at Chinese Acadmy of SciencesPh.D., Computer Science, Ph.D., Computer Science at University of Rochester
Chinese
Github Skills (9)
c-language10
tensor10
tensorflow10
cprogramming-language10
cuda9
memory-management9
pytorch8
optimisation8
optmization8
Programming languages (8)
Github contributions (5)
pytorch/pytorch
Feb 2021 - Jan 2023
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1588 reviews, 692 commits, 1001 PRs in 1 year 11 months
Contributions summary:Bin's contributions focused on improving and maintaining the backend infrastructure of the PyTorch project, specifically by implementing support for tensor manipulations and automatic compilation of models. Their work involved adding and modifying C++ code related to tensor handling, memory management, and the definition of C interfaces for the AOT (Ahead-Of-Time) Inductor compiler. The user's commits also included the creation of a test runner for a separate C++ based build system used in FB internal code.
gpu-accelerationneural-networkpythonautogradgpu
desertfire/pytorch
Sep 2024 - Jul 2026
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:18 reviews, 6 PRs, 66 pushes in 1 year 10 months
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