Shuan Guo is a Machine Learning Engineer based in San Diego with a decade of engineering experience and 6+ years focused on developing and optimizing AI-driven search and recommendation systems. Currently at hireEZ, he applies advanced NLP and deep-semantic models to enhance talent search relevance, building on prior work at Club Factory where he implemented Transformer-, BERT- and DSSM-based solutions and managed large-scale ETL on platforms like Redshift and HBase. His background spans biomedical signal research—using Sparse LDA, PCA, and logistic regression on EEG data—through a strong academic foundation with masters’ degrees in Biomedical Engineering and Computer Science. Known for bridging research-grade modeling and production pipelines, he combines rigorous statistical thinking with practical data engineering to improve user intent understanding at scale.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Biomedical/Medical Engineering, Master's degree, Biomedical/Medical Engineering at University of Michigan
Master of computer science, 3.96/4.00, Master of computer science, 3.96/4.00 at Arizona State University
Bachelor's degree, Biotechnology, Bachelor's degree, Biotechnology at Nankai University
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