Eric Doi is a Senior Software Engineer with 12 years of experience building AI/ML products across healthcare, e-commerce, and ride-hailing, currently working on intent alignment and answer generation for Google Search. He combines a strong research background (M.S. in AI from UCSD) with hands-on systems work—from C++ serving backends and Spark pipelines to Elasticsearch tuning and production A/B experiments. At Grab he led a team to transform ad-hoc map relevance into eval-driven optimization, improving recall and operationalizing golden datasets and regression platforms. His work spans both modeling and engineering: knowledge extraction pipelines that reduced user friction, bloom-filter optimizations that cut runtime dramatically, and scalable model deployment across large fleets. Notably, he has repeatedly turned prototypes into shipped experiments that measurably improved product metrics, demonstrating a rare mix of product sensitivity and deep technical execution. Based in the United States, he thrives at the intersection of search, recommender systems, and pragmatic ML infrastructure.
12 years of coding experience
10 years of employment as a software developer
University of California San Diego
B.S., Computer Science, B.S., Computer Science at Harvey Mudd College
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