Pascual Gómez is a Staff Machine Learning Engineer based in Palo Alto with nine years of experience applying ML to natural language and human-computer interaction. He combines deep academic roots—a PhD from The University of Tokyo on readability and cognitive diagnosis—with industry impact at Amazon and Meta, focusing on semantic parsing, textual entailment, and QA over structured knowledge. His trajectory spans research roles in Japan and Europe and early engineering internships at Google, giving him a rare blend of production-grade engineering and formal language-understanding research. Known for turning linguistic theory into scalable systems, he excels at bridging research prototypes and deployed ML services.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidad Politécnica de Valencia
(Exchange student), Artificial Intelligence, (Exchange student), Artificial Intelligence at Technische Universität Berlin
Doctor of Philosophy (PhD), Readability and cognitive diagnosis, Doctor of Philosophy (PhD), Readability and cognitive diagnosis at 東京大学 / The University of Tokyo
(Exchange student), Statistical Machine Translation, (Exchange student), Statistical Machine Translation at 名古屋工業大学 / Nagoya Institute of Technology
Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.
Contributions:2 releases, 141 commits, 5 PRs in 1 year 7 months
nlpinferencesfollowingmultiple-languagesparsing
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Pascual Gómez - Staff Machine Learning Engineer at Facebook