Kanak works at the intersection of data infrastructure and machine learning at Sift Science. Previously, he worked on scaling distributed systems at LinkedIn, and using mobile to improve journalism and finance at Stanford.
Stop fraud, break down data silos, and lower friction with Sift.
Achieve up to 285% ROI
Increase user acceptance rates up to 99%
Drop time spent on manual review up to 80%
Your information will be used to contact you about our service and subscribe you to our direct marketing communications. You can, of course, unsubscribe at any time. Please see our Website Privacy Notice.
