Hwijeen Ahn is a machine learning engineer with nine years of experience building applied NLP and document understanding systems, currently on the Superintelligence team at Microsoft AI. She has driven pretraining and LLM application work across industry—at Contextual AI, NAVER CLOVA, and as an MLE intern at Apple—and earned an MS in Language Technologies from CMU. Comfortable bridging research and production, she’s shipped large-scale pretraining pipelines and search/ingestion models that power real-world document workflows. Colleagues value her for turning cutting-edge language models into reliable, efficient systems and for winning NAVER’s AI Rush while still early in her career. Based in San Francisco, she brings a multidisciplinary background (including psychology and language studies) that informs her pragmatic approach to human-centered ML.
8 years of coding experience
3 years of employment as a software developer
Master of Science Computer Science and Engineering, Master of Science Computer Science and Engineering at Sogang University
Master's in Language Technologies School of Computer Science, Master's in Language Technologies School of Computer Science at Carnegie Mellon University
French, French at Hanyoung Foreign Language High School
Contributions:6 commits, 4 pushes, 1 branch in 2 days
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Hwijeen Ahn - Member Of Techincal Staff at Microsoft AI