Wenhan Xia
Research Engineer Applied Scientist at Google
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolWenhan Xia is a research engineer and applied scientist with 11 years of experience bridging academic rigor and product-focused ML research, recently completing a PhD at Princeton on parameter-efficient fine-tuning of LLMs, generative AI, and knowledge distillation. Currently at Google, Wenhan works on Gemini post-training, model merging, and enhancing generative capabilities for Workspace products, building prototypes that translate cutting-edge research into product improvements. Prior internships at Google Brain, DeepMind, Amazon, AMD and contributions to AutoML, online learning, and sample-efficient RL demonstrate a consistent record of shipping methodologies to production and publishing results. An NSF GRFP and Gordon Wu Fellowship recipient who graduated summa cum laude from Cornell, Wenhan blends strong theory with practical system-building and a knack for compounding model efficiency gains. Notably, his work spans both algorithmic innovations (adaptive schedulers, expert-based distillation) and applied engineering that improves business metrics and product quality.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Electrical and Computer Engineering, 4.0, Bachelor of Science - BS, Electrical and Computer Engineering, 4.0 at Cornell UniversityDoctor of Philosophy - PhD, efficient deep learning and optimization, Doctor of Philosophy - PhD, efficient deep learning and optimization at Princeton University
Github Skills (16)
react-component6
react6
kubectl4
cli4
validation4
schema3
keyring3
datagrid3
configuration-management3
kpt3
openapi3
kubernetes2
gitops2
kustomize1
google-cloud1
Programming languages (3)
Github contributions (5)
wenxuan-xia/wenxuan-xia.github.io
Jan 2015 - Jan 2022
Contributions:56 pushes in 7 years 1 month
alone-all-life/alone-all-life.github.io
Feb 2015 - Apr 2015
Contributions:35 commits, 1 PR, 28 pushes in 2 months
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