Seongmin Park
Forward Deployed Engineer, Google Cloud
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolSeongmin 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
3 years of employment as a software developer
Master of Science - MS Information Science/Studies, Master of Science - MS Information Science/Studies at University of PittsburghBachelor of Science - BS Electrical and Computer Engineering, Bachelor of Science - BS Electrical and Computer Engineering at Carnegie Mellon University
Github Skills (124)
transformers10
python10
deep-learning10
text-processing10
gemma10
glm10
multimodal10
audio10
falcon10
ai10
transformer10
nlp10
artificial-intelligence10
bloom10
natural-language-processing10
Programming languages (9)
Github contributions (5)
seongminp/transformers-into-vaes
Aug 2021 - May 2022
Code for "Finetuning Pretrained Transformers into Variational Autoencoders"
Contributions:13 commits, 9 pushes, 1 branch in 9 months
fine-tuningvariational-autoencodernlptransformerstext-vae
seongminnpark/villim-ios
Jul 2017 - Oct 2017
Contributions:81 pushes in 3 months
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