Hao Yi OnginLyft EngineeringHow Lyft designs the Machine Learning Software Engineering interviewIterations on revealing recurring patterns of thought, feeling, and behaviorOct 22, 2019Oct 22, 2019
Hao Yi OnginLyft EngineeringFingerprinting fraudulent behaviorUsing neural networks to gobble up the trail of breadcrumbs left by fraudstersJul 24, 20183Jul 24, 20183
Hao Yi OnginLyft EngineeringFrom shallow to deep learning in fraudA Research Scientist’s journey through hand-coded regressors, pickled trees, and attentive neural networksJul 9, 20184Jul 9, 20184
Hao Yi OnginLyft EngineeringInteractions in fraud experiments: A case study in multivariable testingA while ago we observed something curious when we ran a set of simultaneous A/B tests around multiple antifraud features. These tests were…Oct 5, 20171Oct 5, 20171