Angelo Carrabba is a software engineer with nine years of experience building reliable, production-ready systems across healthcare devices, mapping services, and AI infrastructure. Currently at Google DeepMind after roles at Meta and Verily, he specializes in full-stack work and productionizing complex hardware–software integrations like a retinal camera operator interface. He has a strong background in fault-tolerant systems, performance tuning, and operator-facing tooling from both startup-like teams and large-scale organizations. Angelo blends research experience in networking and robotics with practical product delivery, and is based in the San Francisco Bay Area. A pragmatic problem-solver, he pairs curiosity-driven prototypes from his academic work with disciplined engineering to move research into dependable production.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Clemson University
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