Seongjin Park
Machine Learning Engineer at Speak
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSeongjin Park is a Machine Learning Engineer specializing in speech AI with nine years of experience building and evaluating ASR and downstream speech-language systems. With a PhD in Linguistics from the University of Arizona, he has translated deep academic knowledge of phonetics and language technology into production-grade models and post-processing tools for language learning and automated speech assessment. At ETS he shipped 10+ speech and language capabilities annually—spanning wav2vec-based ASR, transformer models for sentiment and empathy detection, and practical pipelines for assessment metrics—and now continues this applied focus at Speak. He blends hands-on research (Associate Research Scientist in NLP) with product-driven engineering, uniquely combining experimental design, linguistic insight, and ML deployment experience. Colleagues value his ability to turn nuanced speech phenomena into scalable features that measurably improve communication assessment.
9 years of coding experience
8 years of employment as a software developer
The University of ArizonaMaster of Arts - MA, English Linguistics, 4.43/4.5, Master of Arts - MA, English Linguistics, 4.43/4.5 at Hankuk University of Foreign Studies
Korean, English
Github Skills (3)
expressions1
converting1
dates1
Programming languages (2)
Github contributions (5)
seongjinpark-88/automatic_speech_eval
Nov 2018 - Jun 2020
Contributions:55 pushes, 1 branch in 1 year 7 months
seongjinpark-88/kaldi
Jun 2018 - Mar 2020
This is now the official location of the Kaldi project.
Contributions:20 pushes in 1 year 8 months
kaldilocation
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