Summary
Ritchie Zhao is a Senior AI and Machine Learning Engineer with 11 years of experience focused on hardware-aware ML, quantization, and data-format innovation, now at NVIDIA after leading related efforts at Microsoft. He helped design the Microscaling (MX) data format and led the FP32-to-MX conversion protocol and open-source library that influenced Azure Maia 100 and OpenAI inferencing workflows. His background spans PhD research co-designing algorithms and accelerator architectures, CUDA kernel engineering, and multiple granted patents and publications, blending deep research rigor with production-grade systems engineering. Based in Redmond, he is comfortable moving between low-level hardware kernels and high-level ML toolchains, and has a proven track record of turning quantization research into deployable accelerator features.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at Cornell University
Bachelor of Applied Science (B.A.Sc.) Computer Engineering, Bachelor of Applied Science (B.A.Sc.) Computer Engineering at University of Toronto