Summary
Erte Pan is a machine learning engineer with 14 years of experience blending academic research and product-focused ML across energy trading, wireless networking, biomedical imaging, and large-scale e-commerce. He holds a Ph.D. in Electrical and Computer Engineering and has driven measurable business impact at Amazon—improving global metrics through recommendations, RL-driven page optimization, and pricing experiments—and now works on ad ranking at Snap. Erte is skilled in algorithm development, statistical inference, and practical ML infrastructure (Airflow, KenLM features, Char-RNNs, bi-LSTMs), and has filed multiple patents tied to search and recommendation improvements. His background spans nonparametric Bayesian methods, tensor voting for image tasks, and creative sublinear sampling for big data, reflecting a rare mix of theoretical depth and productionization. Known as a quick learner and multi-tasker, he often bridges research and engineering to translate novel methodologies into measurable product gains.
14 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at University of Houston
Bachelor of Engineering (B.Eng.) Electrical and Computer Engineering, Bachelor of Engineering (B.Eng.) Electrical and Computer Engineering at Wuhan University
English, Chinese, Japanese