Yue Zhao
Software Engineer - Generative AI Platform
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYue Zhao is a software engineer with 11 years of experience building large-scale, multimodal and generative AI systems at Meta and Instagram, now contributing to generative AI platform work in Palo Alto. He combines deep systems knowledge from roles across Reality Labs, the Facebook app, and internships at Amazon with applied research flair from a master's in computer engineering. An active open-source contributor, Yue has improved video action-understanding models in the widely used open-mmlab/mmaction toolkit by extending backbone architectures and refining data pipelines for efficient single-frame processing. Known for bridging research prototypes and production services, he focuses on AI agents and multimodal pipelines that scale in consumer products. Colleagues describe him as a "computer visionary," reflecting a penchant for forward-looking solutions that make complex ML systems practical.
11 years of coding experience
7 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at The University of Texas at AustinBachelor's degree Electrical Engineering, Bachelor's degree Electrical Engineering at Southeast University
Github Skills (8)
mask-rcnn10
computer-vision10
faster-rcnn10
pytorch10
action-recognition10
resnet10
video-understanding10
back-end-development9
Programming languages (4)
Github contributions (5)
open-mmlab/mmaction
Apr 2019 - Aug 2020
An open-source toolbox for action understanding based on PyTorch
Role in this project:
Back-end Developer
Back-end DeveloperContributions:112 commits, 17 PRs, 36 pushes in 1 year 3 months
Contributions summary:Yue contributed to the development of action understanding models. This involved adding and modifying backbone architectures, including InceptionV1-I3D, ResNet-I3D, and ResNet-S3D, for video analysis tasks. The user also revised the data processing pipelines and updated the TSN3D recognition model to use these new architectures and support single-frame processing.
pytorchspatial-temporal-action-detectiontemporal-action-localizationaction-detectionunderstanding
SDOlivia/FineGym
Mar 2020 - Jul 2020
Contributions:22 commits, 4 pushes, 5 comments in 4 months
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