Summary
Tommy Park is a seasoned software engineer with 12 years of experience, currently leading ML Applications and the Generative AI platform at Karrot (당근) from Jeju, South Korea. He blends applied machine learning and backend engineering expertise, having built production AI SaaS at Allganize and scalable game backend systems at NEOPLE using Python, DynamoDB, Redis, and AWS. Known for shipping end-to-end solutions—from document understanding and open-domain QA models to operational ML platforms—he bridges research-quality models with production reliability. A KAIST computer science graduate, Tommy often operates at the intersection of product and infrastructure, which explains his recurring role as technical lead across startups and game studios. He brings a pragmatic focus on deployable ML features and low-latency services, plus a knack for translating complex language models into user-facing value.
11 years of coding experience
14 years of employment as a software developer
학사, 전산학, 학사, 전산학 at 한국과학기술원(KAIST)
Korean, English