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InfoQ Homepage Presentations ML Data Pipelines for Real-Time Fraud Prevention @PayPal

ML Data Pipelines for Real-Time Fraud Prevention @PayPal



Mikhail Kourjanski focuses on the architectural approach towards PayPal’s internally built real-time service platform that leverages Machine Learning models and delivers performance and quality of decisions. This platform has established a balance between Big Data and sustainable support for a high volume of real-time decision requests.


Mikhail Kourjanski is the lead data architect at PayPal, responsible for the data architecture of the PayPal real-time decisioning platform that handles billions of events per day and maintains dozens of petabytes of data. He has over 20 years of work experience, including high-tech software engineering, academic research, and consulting for the Financial Services industry.

About the conference

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

Recorded at:

Aug 22, 2018