Yingfei Xiang
AI Technology Expert at Sangfor Technologies
Shenzhen, Guangdong Province, China
Summary
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Rockstar🎓
Top SchoolYingfei Xiang is an AI technology expert with nine years of experience building production-grade ML and LLM systems, currently leading a ~10-person team at Sangfor Technologies to deliver end-to-end training and inference pipelines and a top-ranked security foundation model, SecGPT. His background spans industry-leading bio-computing research at Baidu—where he helped build PaddleHelix and reimplemented AlphaFold2-style models—and production ML work across e-commerce, startups, and research labs. He combines deep model engineering (mixed-precision training, parallel architectures, MLLM/MLLM safety guardrails) with strong applied security and bioinformatics expertise, achieving SOTA scores on multiple benchmarks and delivering high-precision safety products. An active open-source contributor and documentation specialist on PaddleHelix, he pairs rigorous research instincts with clear technical communication. Based in Shenzhen, he blends cross-domain depth—from protein design to cybersecurity LLMs—making him adept at turning advanced research into deployable systems.
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at Wuhan UniversityMaster's degree Computer Science, Master's degree Computer Science at University of Florida
English, Chinese, Chinese, Japanese, Korean
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
user-manual10
rs10
restructuredtext10
learn-ruby-on-rails10
basics10
documentation10
machine-learning7
deep-learning7
Programming languages (2)
Github contributions (5)
PaddlePaddle/PaddleHelix
Dec 2020 - Jan 2023
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Role in this project:
Technical Writer & Documentation Specialist
Technical Writer & Documentation SpecialistContributions:59 reviews, 172 commits, 33 PRs in 2 years 1 month
Contributions summary:Yingfei's commits primarily revolve around adding and modifying documentation files within the `PaddleHelix/paddlehelix` repository. The contributions include adding documentation using reStructuredText (RST) format, creating installation guides, tutorials, developer guides and examples, as well as modifying existing documentation content. The edits span across multiple documentation files, suggesting a focus on improving the clarity and completeness of the project documentation.
representation-learningself-supervised-learningtensorflowprotein-designbio
SuperXiang/ADSProject1
Oct 2016 - Feb 2020
Contributions:6 pushes, 1 branch in 3 years 4 months
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