Yepeng Li
Algorithm Engineer at Weibo Corporation
Beijing, China
Summary
👤
Senior🎓
Top SchoolYepeng Li is an algorithm engineer based in Beijing with 8 years of experience building ML-driven systems for large-scale social platforms. At Weibo he designed core components of a next-generation content moderation stack, combining traditional BERT pipelines with fine-tuned LLMs (Qwen, DeepSeek), RAG and parameter-efficient tuning to double precision and cut reaction time to a quarter. He also architected vector/relation data workflows using Milvus, MongoDB and optimized ETL to support moderation and retweet analysis that reduced operational workload by 40%. Trained in Data Science (MS, University of San Francisco) and Cognitive Science (UC San Diego), he blends human-centered insight with production ML engineering. Known as a "Hello world engineer" on GitHub, he enjoys turning research ideas into pragmatic tools that scale in messy, real-world environments.
8 years of coding experience
1 year of employment as a software developer
University of California, San DiegoMaster's degree, Data Science, Master's degree, Data Science at University of San Francisco
Github Skills (14)
pattern7
rabbitmq7
eventbus6
transaction6
java5
kafka5
consistency5
microservices4
mq4
event-driven-architecture4
outbox4
event-driven3
outbox-pattern3
distributed-transactions1
Programming languages (2)
Github contributions (5)
ypxf369/CoreSolution
Apr 2018 - Sep 2018
Contributions:29 commits, 32 pushes, 1 branch in 5 months
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