Summary
Limin Yao is a Technical Lead with 11 years of experience building machine learning and big-data systems for recommendation, ranking, and NLP applications. He has designed offline training frameworks and production services that apply ML models in real time, spanning retrieval, ranking, A/B experimentation, and metric pipelines. His background includes senior engineering roles at ByteDance, Tinder, Affirm, Fast, Wealthfront, and Twitter, giving him deep operational experience with Spark, Airflow, Redshift, and AWS data stores. He pairs research-rooted rigor—PhD-level training and early IR/NLP internships—with product-focused delivery, having shipped features like order-email recommendations and out-of-stock suggestions. Currently leading AI work on unit test generation, he brings a practical bent for automating quality and ML-driven workflows. His GitHub motto hints at a disciplined, thoughtful approach: excellence through diligence and reflection.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Massachusetts Amherst
M.E Computer Science, M.E Computer Science at Tsinghua University
B.E Computer Science, B.E Computer Science at Xi'an Jiaotong University