Jonghu Jeong is a machine learning engineer with a decade of experience building production RecSys, LLM, and computer vision systems for consumer and privacy-focused products. He has driven measurable impact at Hinge and Tinder—shipping a Top Photo model that increased engagement and slashing a 10M-image training pipeline from 14 days to 1 day on 48 A100s—while inventing evaluation methods like LLM-as-a-Judge to accelerate review by 60×. At Deeping Source he led core video analytics and anonymization work, contributing papers and five patents and improving detection and latency through synthetic data and system optimizations. Comfortable closing the loop from research to deployment, Jonghu combines rapid prototyping and causal analysis to solve cold-starts and data-scarce problems, often bootstrapping labels with LLMs or synthetic data. He’s known for digging into legacy systems, drafting missing specs, and fostering team knowledge-sharing and energy beyond pure engineering. Now based in the Bay Area and pursuing advanced studies at UIUC, he brings a pragmatic, product-oriented approach to modern ML challenges.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Engineering, 3.65(Major 3.7)/4.3, Cum Laude, Bachelor of Science - BS, Computer Science and Engineering, 3.65(Major 3.7)/4.3, Cum Laude at 서울대학교 (Seoul National University)
Master of Computer Science (MCS), Computer Science, Master of Computer Science (MCS), Computer Science at University of Illinois Urbana-Champaign
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