Grace Han
Senior Machine Learning Engineer at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolGrace Han is a Senior Machine Learning Engineer with 10 years of experience specializing in Search, Recommendation, and Personalization systems, currently driving ML efforts at Meta after leading ranking and retrieval initiatives at Walmart Global Tech. She builds end-to-end, production-grade ML solutions—spanning neural network optimization, real-time ranking, and MLOps—that measurably improve customer experience and business metrics such as GMV uplift. At Walmart she delivered an ML-based retrieval feature that prioritized fast-shipping items and improved recall and online metrics, showing a pragmatic blend of experimentation and impact measurement. Trained in computer science (NYU) and mathematics (Korea University), she pairs rigorous quantitative foundations with strong software engineering practices for scalable, reliable systems. A detail-oriented engineer, she also has hands-on experience improving NER accuracy and operational analytics from earlier roles, reflecting both model-level depth and data-driven product thinking.
9 years of coding experience
7 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at New York UniversityBachelor of Science Mathematics, Bachelor of Science Mathematics at Korea UniversityLondon School of Economics and Political Science
Korean, English
Github Skills (6)
computer-vision1
machine-learning1
artificial-intelligence1
python1
deep-learning1
tensorflow1
Programming languages (1)
Github contributions (5)
gracejhan/bigdataproject
Apr 2018 - Mar 2019
Contributions:32 pushes in 11 months
gracejhan/operating_systems
Mar 2018 - Mar 2019
Contributions:16 pushes, 1 branch in 1 year
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