Ze Sheng
Software Engineer at Meta
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolZe Sheng is a software engineer specializing in deep learning compilers, distributed training parallelism, and high-performance computing, with five years of industry experience across Meta, AWS, and Meituan. He has shipped compiler and runtime features—most recently work on MTIA lowering in PyTorch at Meta—and co-designed default-on performance and resilience libraries used on large AWS training platforms. Proficient in Python and C/C++, he focuses on low-level performance optimization and end-to-end throughput for dynamic models. A detail-oriented "single-thread organism" with wide interests, he pairs academic rigor from a 3.9 M.Eng. at Waterloo with pragmatic production impact across ML infrastructure.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, 83/100 (Rank: Top 30%), Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, 83/100 (Rank: Top 30%) at Beijing Institute of TechnologyMaster of Engineering - MEng, Electrical and Computer Engineering, GPA: 3.9, Master of Engineering - MEng, Electrical and Computer Engineering, GPA: 3.9 at University of Waterloo
Github Skills (37)
python10
acceleration10
machine-learning10
multiplication10
numpy10
deep-learning10
tensorflow10
aws10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
pytorch9
matrix9
Programming languages (3)
Github contributions (5)
StellarrZ/Lab-Herring
Jul 2022 - Nov 2023
Contributions:51 pushes, 1 branch in 1 year 4 months
StellarrZ/pytorch
Feb 2024 - Mar 2025
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:11 pushes, 7 branches in 1 year
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