Qiqi W is an algorithm engineer with eight years of experience applying machine learning to payment risk and fraud detection at major tech firms including Meituan and Shopee. She specializes in anti-fraud systems, account takeover prevention, and end-to-end feature and model development using Python, SQL and Spark. Her work spans classical ML, deep learning, NLP and optimization, and she has led solutions that start from problem framing through production deployment. Prior internships at DiDi and Kwai provided early exposure to high-throughput, product-facing algorithm engineering. Trained in Industrial Engineering and Management Information Systems, she blends statistical rigor with practical system design. Based in Shanghai, she is particularly adept at translating fraud domain knowledge into scalable, data-driven defenses.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Management Information Systems, General, Bachelor's degree, Management Information Systems, General at Hefei University of Technology
Industrial Engineering, Industrial Engineering at 北京航空航天大学
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