Haebichan Jung
AI ML Architect - Applied Field Engineering at Udemy
California, United States
Summary
👤
Senior🎓
Top SchoolHaebichan Jung is an AI/ML architect and applied field engineer with 8 years of experience designing, prototyping, and selling enterprise AI solutions from presales to production. Based in San Francisco, he has driven measurable ARR wins for large enterprises, taught Generative AI and LLM courses to a global student base, and currently evangelizes Snowflake’s ML capabilities while shaping customer architectures. He bridges data science, developer advocacy, and sales engineering—authoring educational content, building demos and integrations, and translating complex ML concepts into business impact. A Columbia-trained economist and former Towards Data Science lead, he combines rigorous analytical thinking with a talent for storytelling and developer enablement. Notably, his presales work at Moveworks helped close multiple seven-figure enterprise deals by demonstrating practical LLM product value.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Bachelor's degree at University of California, BerkeleyMaster’s Degree International Economics, Master’s Degree International Economics at Columbia University
Korean, English
Stackoverflow
23reputation
646reached
0answers
3questions
Github Skills (13)
classifier9
random-forest9
pandas6
deep-learning6
dictionary6
tensorflow6
forloop6
python6
if-statement6
scikit-learn6
playfab2
slack1
dotnet1
Programming languages (3)
Github contributions (5)
haebichan/kpopclassifier
Oct 2018 - Oct 2018
creating a bts classifier
Contributions:35 commits, 25 pushes in 24 days
classifier
haebichan/PopMusicMaker
Aug 2018 - Nov 2019
Pop Music Maker built on HMM and Random Forest-like structure. Inspired by the desire to build my own model can serve as alternative to LSTMs / deep learning in generating pop music. Website is currently down due to costs incurred.
Contributions:25 commits, 23 pushes, 1 branch in 1 year 4 months
deep-learningrandom-forest
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