Zhoutong Fu
Applied Researcher & Engineer at Hippocratic AI
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolZhoutong Fu is an applied researcher and machine learning engineer based in Palo Alto with a decade-long track record building production GenAI systems and scalable ML infrastructure. At LinkedIn he led multimodal modeling, retrieval, and distributed training efforts that replaced GPT-4 in production for certain use cases—delivering $10M in annual cost savings, double-digit satisfaction gains, and major latency reductions—while also contributing to a $40M revenue-driving assistant feature. Now at Hippocratic AI, he focuses on generative AI for healthcare, combining privacy-preserving techniques, synthetic data, and verifiable RL approaches he has deployed at scale. Trained in statistics and applied mathematics (Stanford, Michigan), he blends rigorous quantitative thinking with product-minded engineering to move research into reliable, high-impact production systems.
6 years of coding experience
10 years of employment as a software developer
High School Diploma, High School Diploma at Hangzhou No.2 High SchoolBachelor of Science (BS) Applied Mathematics, Bachelor of Science (BS) Applied Mathematics at University of MichiganBachelor of Science (B.S.) Mathematics and Statistics, Bachelor of Science (B.S.) Mathematics and Statistics at Shandong UniversityMaster of Science (M.S.) Statistics, Master of Science (M.S.) Statistics at Stanford University
English, Chinese
Github Skills (31)
classification10
nlp10
pytorch9
python9
machine-learning9
bert9
natural-language-processing9
tensorflow9
deep-learning9
speech-recognition9
transformer9
language-model8
clustering8
ranking8
similarity8
Programming languages (3)
Github contributions (5)
zhoutong-fu/detext
May 2020 - Jun 2020
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
Contributions:8 pushes, 5 branches in 1 month
nlpunderstandingdeep-learningmulti-label-classificationclassification-tasks
linkedin/detext
May 2020 - Jun 2020
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
Contributions:3 commits, 6 PRs, 3 pushes in 22 days
nlpunderstandingdeep-learningmulti-label-classificationclassification-tasks
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