Baoyuan Wu
SEOER at Hong Kong Vodafone Trading Co., Ltd
Fujian, China
Summary
🤩
Rockstar🎓
Top SchoolBaoyuan Wu is an SEO specialist with nine years of hands-on experience in digital marketing and technical optimizations, currently driving SEO at Hong Kong Vodafone Trading Co., Ltd. He pairs practical search engine expertise with a surprising technical fluency in machine learning pipelines, having contributed data-processing and deployment work to Tencent's large-scale tencent-ml-images repository. Based in Fujian, China, Baoyuan blends analytic rigor from an accounting education with a results-driven mindset summarized by his personal motto “never stop!” His background shows an ability to bridge content, data engineering, and performance tuning—optimizing both visibility and the infrastructure that supports large datasets. Colleagues know him for pragmatic scripting skills (tfrecord creation, threaded download pipelines) that accelerate ML workflows, a valuable edge for SEO projects that rely on automation and scale.
10 years of coding experience
Eat and drink, Eat and drink at Fujian Sanwu kindergartenaccounting, accounting at Fujian Jiangxia College
Github Skills (10)
computer-vision10
machine-learning10
tensorflow10
python10
image-processing10
image-classification10
data-pipelines9
data-pipeline9
deep-learning9
data-engineering8
Programming languages (3)
Github contributions (5)
Tencent/tencent-ml-images
Sep 2018 - Dec 2019
Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
Role in this project:
ML Engineer
ML EngineerContributions:133 commits, 2 PRs, 29 pushes in 1 year 3 months
Contributions summary:Baoyuan contributed significantly to the data processing and model deployment aspects of the project. They developed scripts for downloading images, converting images into tfrecords, and performed image classification using a pre-trained ResNet model. The commits include modifications to the image downloading pipeline, the creation of tfrecord files for training, and the setup of an image classification script. The user's work also touches on the use of threading for performance and the management of image file lists.
databaseimagenetdeep-learningcomputer-vision
wubaoyuan/Lpbox-ADMM
Jul 2018 - Feb 2021
A generic optimization method for any integer programming problem
Contributions:99 commits, 93 pushes, 1 branch in 2 years 7 months
integer-programmingadmmnon-convex-optimizationmachine-learningcomputer-vision
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