Di Xu is a Principal Machine Learning Engineer with 11 years of experience building production-grade search, retrieval, and ranking systems, now working on GenAI and RAG at NVIDIA in Mountain View. He has deep research roots from Carnegie Mellon and a track record at Meta and Zendesk of applying learning-to-rank, query expansion, and retrieval models to real-world products including internal search, Instagram Threads relevance, and conversational knowledge retrieval. His work spans from academic contributions in spoken term detection and multimedia IR to engineering robust recommender and social media analysis pipelines. Known for translating IR research into scalable systems, he combines rigorous empirical evaluation with pragmatic software engineering. An under-the-radar strength is his consistent movement between research and product: he taught graduate ML, published academic work, and then shipped “Smart Search” features at scale. He seeks to further advance retrieval and text-mining techniques within GenAI-enabled applications.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (BE), Computer Software Engineering, Bachelor of Engineering (BE), Computer Software Engineering at Tamkang University
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Nanjing University
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
Contributions:114 pushes, 24 branches in 3 months
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