Sang Chun

Senior Machine Learning Engineer at Coupang

Seoul, South Korea
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Summary

👤
Senior
🎓
Top School
Sang Chun is a Senior Data Scientist based in Seoul with 13 years of experience building end-to-end ML and distributed computing solutions for enterprise-scale data. He has driven production systems and model improvements at companies from CJ CheilJedang BIO—where he integrated HPC, Kubernetes, Spark and GPUs and delivered patent-pending applied ML—to e-commerce at Wider Planet and now Coupang. His background blends deep computational biology research (PhD, University of Michigan) with hands-on engineering: feature-space reduction on Spark/BigQuery pipelines, ALBERT/BERT text classifiers on multi-GPU clusters, and automation that cut delivery times by ~95%. Known for mentoring and translating complex science for non-technical stakeholders, he pairs rigorous experimental validation with pragmatic software practices to move models from prototype to production.
code13 years of coding experience
job17 years of employment as a software developer
bookDoctor of Philosophy (PhD), Computational Medicine and Bioinformatics, Doctor of Philosophy (PhD), Computational Medicine and Bioinformatics at University of Michigan
bookBachelor of Arts (BA), Biology, Bachelor of Arts (BA), Biology at Kalamazoo College
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Github Skills (4)

profiling8
classification8
genome-annotation7
jekyll4

Programming languages (2)

PerlPython

Github contributions (5)

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mills-lab/spectre

Oct 2015 - Feb 2019

Spectral coherence classification of actively translated regions in ribosome profiling sequence data.
Contributions:2 releases, 96 commits, 2 PRs in 3 years 4 months
classificationprofiling
stonyc/snippets

Jun 2021 - Feb 2023

Contributions:14 pushes, 1 branch in 1 year 8 months
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