Summary
Shenjia Zhang is an Application Research Engineer with eight years of experience applying graph mining, unsupervised clustering, and NLP to production problems at major Chinese tech firms. Holding an MSc in Big Data Technology from HKUST and a strong BS in Electronic Information Engineering from Wuhan University, he bridges rigorous academic training with practical R&D at Tencent, Huawei, and VMware. His recent work focuses on scalable graph-based insights and unsupervised methods that surface structure from noisy data, often combining explainable AI techniques learned during industry internships. Based in Guangzhou, he brings a blend of research-driven curiosity and product-minded engineering, routinely translating complex models into actionable analytics. Notably, his background suggests a knack for turning advanced graph and NLP research into deployable systems rather than purely theoretical prototypes.
8 years of coding experience
Bachelor of Science - BS, Electronic Information Engineering, GPA 3.76/4.00 (90/100), Bachelor of Science - BS, Electronic Information Engineering, GPA 3.76/4.00 (90/100) at Wuhan University
Hong Kong University of Science and Technology (HKUST)
Chinese, English