Summary
Frank Qi is an Expert Algorithm Engineer with 11 years of experience applying machine learning and NLP to real-world product and enterprise problems, currently leading user representation, profiling, and product matching efforts at Shopee in Shanghai. He has a strong track record building production knowledge graphs, NER and relation extraction pipelines at Ping An, and earlier applied NLP and seq2seq techniques for analytics and bot detection in research and consultancy roles. Comfortable moving from regex and CRF to BERT and large-scale representation learning, he blends research-rooted methods with pragmatic engineering for high-volume systems. Frank’s background in both industrial engineering and computer science helps him bridge data, product, and operations—evident from projects spanning ad optimization, fraud checks, and QA systems over millions of relations. Practical, results-oriented, and curious, he often surfaces domain structure (e.g., insurance ontologies) to turn messy documents into reliable features for downstream ML.
11 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.), Industrial Engineering, 3.4, Master of Science (M.S.), Industrial Engineering, 3.4 at Clemson University
Bachelor’s Degree, Mathematics and Computer Science, Bachelor’s Degree, Mathematics and Computer Science at East China Normal University
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at The George Washington University