Summary
Dohyung Park is a software engineer with 11 years of experience building production ML systems for recommendation, retrieval, and content understanding across large consumer platforms. He has driven search intelligence at Uber Eats and previously led video understanding, ranking, and content integrity research at Facebook, translating cutting-edge deep learning into scalable product backends. Trained at KAIST and UT Austin in electrical engineering, he blends rigorous academic foundations with hands-on deployment experience in retrieval, NLP, and ranking pipelines. Colleagues describe him as a pragmatic researcher who focuses on measurable product impact—optimizing models not just for metrics but for real-world user experience and moderation needs.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical Engineering, Doctor of Philosophy (PhD), Electrical Engineering at The University of Texas at Austin
Bachelor's Degree, Electrical Engineering, Bachelor's Degree, Electrical Engineering at Korea Advanced Institute of Science and Technology
English, Korean