Diego Uribe is a Staff Software Engineer based in the San Francisco Bay Area specializing in machine learning and infrastructure for YouTube Shorts, with a rapid progression from intern to staff within three years at Google. He blends production ML work—improving ranking and recommendation systems—with systems-focused engineering, having built data pipelines and backend services in C++, Guice-based infrastructure, and protocol-buffered RPCs. Prior to Google he led engineering and product efforts in blockchain and healthcare startups, delivering full-stack MERN and Solidity proofs-of-concept and a GraphQL-powered medical data platform. Diego’s background in both consulting and large-scale product teams gives him a knack for translating client and user needs into robust, measurable model and system improvements. He is comfortable shipping end-to-end features, from research experiments that boosted engagement to scalable infra components, and has a history of mentoring and leading small engineering teams.
3 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering and Computer Sciences (EECS), Bachelor of Science - BS Electrical Engineering and Computer Sciences (EECS) at University of California, Berkeley
High School Graduate, High School Graduate at Pan-American School
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