Chi Zhang
Applied Scientist at Amazon Web Services (AWS)
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolChi Zhang is an applied scientist with 11 years of experience at the intersection of machine learning, systems, and reliability, currently working at AWS after completing a PhD at Carnegie Mellon. Their research and engineering work focuses on robustness and reliability of LLMs and deep networks for image, code, and language tasks, with practical contributions to quantization and graph optimization in high-profile open-source projects like pytorch/glow. Chi combines rigorous academic training in electrical engineering and applied math with hands-on backend and ML engineering, having implemented low-level RNG, quantization support, and ML test cases to improve compiler performance for neural accelerators. They have applied research experience in industry settings—such as evaluating RAG correctness at Capital One—and a track record of translating theoretical perturbation analysis into production-aware improvements. Based in Pittsburgh, Chi brings a rare blend of deep theoretical insight and systems-level implementation skills that accelerate trustworthy model deployment.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS AMEP (Applied Math Engineering and Physics), Bachelor of Science - BS AMEP (Applied Math Engineering and Physics) at University of Wisconsin-MadisonHigh School Diploma, High School Diploma at The High School Affiliated to Renmin University of ChinaDoctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Carnegie Mellon University
Github Skills (10)
neural-network10
quantization10
graph10
machine-learning10
c-language10
cprogramming-language10
optimisation10
optimization10
opencl9
pytorch9
Programming languages (2)
Github contributions (5)
pytorch/glow
Jun 2018 - Jul 2019
Compiler for Neural Network hardware accelerators
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:49 commits, 81 PRs, 22 pushes in 1 year 1 month
Contributions summary:Chi implemented several improvements to the `pytorch/glow` repository, which is a compiler for Neural Network hardware accelerators. Their contributions included the addition of a `nextRandReal()` function to the `PseudoRNG` class, and the development of a new ML test case to learn the logarithmic function. Moreover, the user added quantization support for convNetForImageRecognition, and added quantization support for several more nodes, showing their focus on improving the optimization and quantizing of neural network models. The user also optimized the graph and improved the code structure.
hardware-acceleratorscompilerneural-networkacceleratorshardware
ZchiPitt/glow
May 2019 - Jul 2019
Compiler for Neural Network hardware accelerators
Contributions:240 pushes, 48 branches in 2 months
hardware-acceleratorscompilerneural-networkacceleratorshardware
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