Yoon Jeong
Research Engineer at NAVER Corp
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolYoon Jeong is a research engineer with 9 years of experience focused on improving web search and ranking systems at NAVER Corp in Seoul. They design and operate large-scale data pipelines, from web data mining and pattern analysis to training-data generation and automated error-detection systems that directly improve search relevance. Yoon has hands-on expertise with Python, Hadoop, Spark and pattern mining, and has built production workflows for feature extraction, model training, and quality monitoring. Earlier work includes academic research and teaching support—placing in ACM RecSys Challenge 2018 and running ML and NLP projects as a TA—bringing a blend of research rigor and practical engineering. Colleagues value that Yoon pairs deep data-driven analysis (e.g., anchor-pattern discovery) with pragmatic automation to turn noisy web signals into reliable training labels.
9 years of coding experience
1 year of employment as a software developer
대일외국어고등학교Master's degree, Computer Science, Master's degree, Computer Science at 성균관대학교Bachelor's degree, Global Economics & Computer Science, Bachelor's degree, Global Economics & Computer Science at Sungkyunkwan University
Korean, English, Spanish
Github Skills (43)
alarm10
robotics9
autoencoder9
variational-autoencoder9
adversarial-learning9
clock9
collaborative-filtering9
sequential9
filtering9
computer-vision8
recommender-system8
natural-language-processing8
machine-learning8
convolutional-neural-networks8
debug8
Programming languages (4)
Github contributions (5)
yoongi0428/RecSys_PyTorch
Aug 2019 - May 2021
PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
Contributions:34 commits, 15 pushes, 3 branches in 1 year 9 months
pytorchimplementationsrecommenderscollaborative-filteringrecommendation
yoongi0428/dmlab_torch_tutorial
Oct 2018 - Mar 2019
Contributions:15 commits, 14 pushes, 1 branch in 5 months
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