Seongmin Park is a Machine Learning Engineer based in Seoul with 11 years of experience building production AI systems and developer-facing tools. He led a language team at ActionPower, delivering speech-to-text, RAG, instruction/alignment tuning, and distillation pipelines for B2B and B2G products, and collaborated with Seoul National University Hospital on a suicide risk assessment model. Currently at Goodnotes, he focuses on integrating advanced language capabilities into user-facing applications. His background spans mobile and blockchain engineering—authoring Ethereum smart contracts and modifying go-ethereum for Android—giving him strong systems and cross-platform instincts beyond typical ML roles. A CMU-trained engineer with an MS in Information Science, he maintains open-source work as maintainer of hamanlp, reflecting a commitment to community tooling and reproducible NLP. Colleagues describe him as a pragmatic implementer who moves research ideas into reliable, user-focused products.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Electrical and Computer Engineering, Bachelor of Science - BS Electrical and Computer Engineering at Carnegie Mellon University
Master of Science - MS Information Science/Studies, Master of Science - MS Information Science/Studies at University of Pittsburgh
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