Myeong-jun Jang is a DPhil candidate and NLP-focused AI/ML engineer based in London, currently applying state-of-the-art NLP in enterprise settings as an Applied AI ML Associate Sr at JPMorgan Chase. He pursues doctoral research at the University of Oxford in the Intelligent System Lab, supervised by Thomas Lukasiewicz, with his thesis submitted. His industry track includes a PhD internship at JPMorgan Chase & Co.'s London NLP team and a tenure at SK Telecom, where he built an annotation framework for active learning and contributed to the T-World chatbot with NLU and small-talk engines, while his research includes first-author work on Learning Free Extractive Summarization in IEEE Access and co-authorship on intrusion detection. He holds a BS in Industrial Management Engineering with 3.95/4.5 and an MEng in Industrial Management Engineering with 4.31/4.5 from Korea University. With eight years of experience, he blends rigorous research with hands-on system building—driving data drift detection, document retrieval, and topic trend analysis while delivering production-ready NLP solutions.
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 Oxford
Bachelor of Science - BS, Industrial Management Engineering, 3.95/4.5, Bachelor of Science - BS, Industrial Management Engineering, 3.95/4.5 at 고려대학교
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.