Myeong-jun Jang
Applied AI ML Associate Sr
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMyeong-jun Jang is an Applied AI/ML scientist and engineer with eight years of experience building production NLP systems across finance, legal, telecom, and academic settings. Currently an Applied AI ML Associate Senior at JPMorgan Chase and a DPhil candidate at the University of Oxford, he combines research-grade methods with hands-on deployment of solutions like document retrieval FAQ systems, data-drift detection for text, and AI-assisted due diligence. His background includes industrial NLP engineering at SK Telecom—where he built annotation frameworks and conversational NLU—and internships translating doctoral research into enterprise impact. He is comfortable moving models from prototype to retraining pipelines and monitoring in production, and his thesis work under Thomas Lukasiewicz signals deep expertise in intelligent systems. Colleagues value his ability to bridge rigorous research with pragmatic engineering, and he brings a cross-cultural perspective shaped by advanced study in the UK and industry experience in Korea.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - DPhil Computer Science, Doctor of Philosophy - DPhil Computer Science at University of OxfordMaster of Engineering - MEng Industrial Management Engineering, Master of Engineering - MEng Industrial Management Engineering at Korea University
English, Korean, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
acl10
computational-linguistics10
phonetics9
natural-language-processing8
extractor5
entity5
rule-based4
regex4
spellchecker1
Programming languages (2)
Github contributions (5)
MJ-Jang/BECEL
Sep 2022 - Oct 2022
Contributions:10 commits, 8 pushes, 1 branch in 1 month
MJ-Jang/ReRee
Apr 2020 - Aug 2020
Regex Rele Entity Extractor
Contributions:33 commits, 2 PRs, 29 pushes in 4 months
regular-expressionsregexentityrule-basedentity-extractor
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