Chengxi Ye
Member Of Technical Staff at xAI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolChengxi Ye is a machine learning engineer with 11 years of experience focused on ultra-efficient ML and large language models, currently a Member of Technical Staff at xAI after senior engineering roles at Google DeepMind and Google. With a PhD from the University of Maryland and a background spanning deep learning, computer vision, quantitative trading, and bioinformatics, he brings strong interdisciplinary expertise from academia to production at AWS and industry research labs. He has a track record of optimizing model and system efficiency—translating research insights from bioinformatics and image processing into scalable ML solutions. Based in Seattle, Chengxi combines rigorous quantitative foundations (math and CS degrees) with hands-on engineering at the intersection of cutting-edge research and deployment.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at Sun Yat-sen UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of MarylandMaster's degree Computer Science, Master's degree Computer Science at Zhejiang University
Chinese, English
Github Skills (48)
mer10
genome10
assembly10
python10
cpu10
machine-learning10
datasets10
numpy10
deep-learning10
gpu10
assembler10
genome-assembly10
sequencing10
torchvision10
bioinformatics10
Programming languages (3)
Github contributions (5)
yechengxi/DBG2OLC
Sep 2014 - Jul 2020
The genome assembler that reduces the computational time of human genome assembly from 400,000 CPU hours to 2,000 CPU hours, utilizing long erroneous 3GS sequencing reads and short accurate NGS sequencing reads.
Contributions:50 commits, 17 PRs, 51 pushes in 5 years 11 months
genomebioinformaticscpulonggenome-assembly
yechengxi/Sparc
Feb 2016 - Jul 2018
Contributions:13 commits, 13 pushes, 1 branch in 2 years 5 months
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