Runqi Yang is a Senior Machine Learning Engineer with 10 years of experience designing and shipping recommendation and NLP systems for large-scale products at ByteDance, SmartNews, and Alibaba. He has end-to-end expertise across the recommendation workflow—from data pipeline and retrieval to ranking—backed by hands-on work in TensorFlow, PyTorch, Spark, Flink and production services like SpringBoot. At Alibaba he built query recommendation pipelines and advanced chat-query models, winning internal benchmarks and improving first-time search engagement, and he later focused on video-feed ranking at ByteDance. Comfortable coding in Python, Java, C++, Scala and JavaScript, he pairs deep technical delivery with clear cross-team communication and presentation skills. Fluent in Chinese and proficient in English, Runqi combines research-caliber modeling (pretraining and open-world classification) with pragmatic system engineering for production ML.
11 years of coding experience
4 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Nanjing University
A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
Contributions:4 commits, 5 pushes, 32 comments in 2 years
pytorchtext-matchingnlpdeep-learningsnli
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