Sagar Krishnaraj is a founder and product-minded engineer with nine years of experience building ML-driven software and payment fraud solutions from Austin. He co-founded Cherble to bring agentic AI to marketing and is currently launching a stealth startup focused on similar AI-first growth infrastructure. Previously he led product for Visa’s real-time account-to-account fraud detection, improving model explainability and MLOps pipelines while managing live client relationships across regions. His background spans full‑stack and ML engineering at Workday, with early hardware and test engineering roles at Silicon Labs, giving him a rare blend of systems-level rigor and product instincts. A UT Austin computer engineering alum who still “hooks ’em,” he pairs startup grit with enterprise-grade delivery. Not obvious from titles: he combines hands-on model and feature pipeline automation with client-facing forensic analyses to close the gap between research and production impact.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at The University of Texas at Austin
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