Nan D
Staff Research Scientist at Kaggle
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNan D is a Staff Research Scientist at Meta with 11 years of experience building large-scale recommender and ranking systems for Facebook Marketplace, blending production C++ backend engineering with ML modeling in PyTorch and LightGBM. He holds a Ph.D. in Computer Science from Michigan State University and previously developed scalable algorithms for correcting noisy long-read sequencing data using HMMs and graph consensus, demonstrating a rare crossover between bioinformatics and industrial recommender systems. A top-ranked Kaggle Competitions Master with multiple gold finishes in diverse tasks (NLP, CV, and tabular prediction), he brings strong feature engineering instincts and a track record of turning research ideas into deployable systems. Based in San Francisco, Nan is effective at bridging research and product teams to improve feed relevance at scale while retaining deep algorithmic rigor from his physics and computational biology background.
11 years of coding experience
11 years of employment as a software developer
Bachelor Physics, Bachelor Physics at Fudan UniversityDoctor of Philosophy (Ph.D.) Computer Science and Engineering, Doctor of Philosophy (Ph.D.) Computer Science and Engineering at Michigan State University
Chinese, English
Github Skills (44)
transformers10
pytorch10
python10
machine-learning-models10
machine-learning10
inference10
multimodal10
llm10
audio10
deep-learning10
tensorflow10
natural-language-processing10
gemma10
transformer10
speech-recognition10
Programming languages (4)
Github contributions (5)
Strideradu/leetcode
May 2017 - Mar 2019
Contributions:45 commits, 42 pushes, 2 branches in 1 year 10 months
Strideradu/GroupK
Jan 2018 - Oct 2018
Contributions:23 commits, 25 pushes, 1 branch in 8 months
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