Summary
Anton Laptiev is an AI & ML leader with 10 years of experience building and scaling production fraud and trust-and-safety systems in fintech and payments. Currently managing AI & ML teams at Chime, he delivers end-to-end solutions across Risk, Operations, and Member Experience after leading development of real-time prevention models that stopped millions in fraud loss. His background spans R&D at Mastercard—productionizing behavioral biometrics and identity resolution models—and early career analytics and ETL engineering, giving him both research rigor (PhD-level training) and hands-on production chops. He has a track record of applying semi-supervised and teacher-student frameworks, building data warehouses and automated ETL pipelines, and deploying models on cloud-native stacks. Based in Vancouver, he blends deep econometrics and operations-research foundations with pragmatic ML engineering to move prototypes into resilient, real-time systems. An uncommon strength is his end-to-end fluency from cohort-level business KPIs to low-latency model deployment across high-stakes financial workflows.
10 years of coding experience
8 years of employment as a software developer
National Technical University "Kharkiv Polytechnic Institute"
Master’s Degree Economics, Master’s Degree Economics at Central European University
Doctor of Philosophy - PhD Economics, Doctor of Philosophy - PhD Economics at The University of British Columbia