Sean Moon is an owner-engineer and applied ML practitioner with 15 years of experience building product-focused full‑stack systems, currently shipping a language-learning app, Meanings. He spent a decade at Twitter advancing relevance, safety, and large-scale ML infrastructure—working across ranking, feature engineering, experimentation, and GCP integrations. Comfortable moving between product and low-level engineering, Sean’s background spans iOS and web stacks, distributed systems, and production ML pipelines. Trained in both linguistics and computer science at UCLA, he brings a rare blend of language insight and technical depth that informs his work on vocabulary acquisition tools and relevance models.
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