Qin Zichun is a Senior Researcher with a decade of experience applying machine learning and big data techniques across fintech and cloud businesses, currently at Tencent and completing a Master's in Big Data at HKUST. He has built multi-factor trading models using DNN/RNN/LSTM at Ant Financial, developed graph mining and link-prediction algorithms with Spark/GraphFrames at Lenovo, and delivered cross-industry data-mining solutions during internships at MiningLamp. Comfortable moving models from feature engineering on e-commerce platforms to production-scale analytics, he blends research rigor with hands-on engineering for high-throughput data environments. Based in Beijing’s Haidian District, he pairs deep algorithmic skills with pragmatic system design—often focusing on extracting predictive signals from large, noisy transaction and user-behavior datasets.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Bachelor's degree at Beijing University of Posts and Telecommunications
Hong Kong University of Science and Technology (HKUST)
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