Rushabh Shah is a founder and former Staff Software Engineer with a decade of experience building scalable ML-driven systems and compliance products from the San Francisco Bay Area. He founded AiPrise to streamline cross-border KYC, KYB and AML workflows, leveraging a best-in-class identity vendor stack to help businesses reduce fraud and simplify onboarding. At Meta he led the Functional Correctness initiative, piloting ML classifiers to surface user pain points and scaling the program across multiple core apps as a solutions architect. His background combines hands-on ML and systems engineering with product-led operationalization of reliability and correctness at scale. Trained with an MS in Computer Science and early roots in web and visualization engineering, he pairs startup grit with large-company execution.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Computer Engineering, Bachelor of Engineering (B.Eng.) Computer Engineering at Sardar Patel Institute of Technology
Master's degree Computer Science, Master's degree Computer Science at Stony Brook University Graduate School
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