Tao Dai is a software engineer with a decade of experience building large-scale search and indexing systems at Google, currently focused on YouTube search indexing after earlier work fighting spam in Google Search. He holds an MCDS from Carnegie Mellon and a B.S. in ECE from Shanghai Jiao Tong University, combining strong academic foundations in computational data science with hands-on production experience. His background spans search ranking, spam mitigation, and voice assistant intern work, plus prior big-data systems internships at Intel where he worked on Spark, Alluxio and Docker-based orchestration and monitoring. Based in Mountain View, he brings a mix of algorithmic rigor and practical engineering for high-throughput, user-facing platforms, and is known for bridging research-quality methods to production search infrastructure.
10 years of coding experience
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at UM-SJTU Joint Institute, Shanghai Jiao Tong University
Master of Science - MS, Computational Data Science, Master of Science - MS, Computational Data Science at Carnegie Mellon University
Contributions:11 commits, 3 pushes, 2 branches in 5 days
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