Juyong Kim
Machine Learning Engineer at Waymo
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolJuyong Kim is a Machine Learning Engineer and PhD candidate at Carnegie Mellon University with a decade of experience bridging research and applied ML across clinical NLP, tabular data, computer vision, and neural architectures. His internships at Google, Abridge, Amazon (prompt tuning for multimodal multitask learning), and AITRICS illustrate a pattern of turning academic insight into production-oriented solutions, and he now contributes to Waymo’s ML efforts. He co-authored work on compositional generalization in classification (ACL 2021 short) and has focused on neural language generation for clinical conversations, signaling deep domain expertise in healthcare NLP. Based in Pittsburgh and advised by Pradeep Ravikumar and Jeremy Weiss, he combines rigorous theoretical training with practical experiments that target real-world impact.
10 years of coding experience
Master's degree Computer Science, Master's degree Computer Science at Seoul National UniversityPhD Student Machine Learning, PhD Student Machine Learning at Carnegie Mellon University
Github Skills (64)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
icd10
icu10
neural-network10
benchmark9
benchmarking9
r7
testbed7
classification7
Programming languages (4)
Github contributions (5)
dalgu90/abbr-exp-ml4h
Dec 2020 - Apr 2022
Contributions:10 commits, 4 pushes in 1 year 4 months
dalgu90/classification-testbed-tf
Feb 2018 - Mar 2019
Testbed for classification on simple datasets
Contributions:30 commits, 20 pushes, 1 branch in 1 year 1 month
datasetmachine-learningtestbeddatasetsclassification
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