Yufan Zhuang
PHD Student at UC San Diego
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolYufan Zhuang is a Research Scientist at Google Cloud AI Research with nine years of experience building and scaling language models to improve reasoning and agentic behavior. He holds a PhD in Computer Science from UC San Diego and has driven research and engineering across top labs including Microsoft Research, Meta Reality Labs, Apple Siri, AMD GenAI, and IBM. Yufan blends deep academic rigor with production-minded ML engineering, contributing to prominent open-source TensorFlow model work on long-range architectures like Linformer and Mega. His internships span distributed pretraining of multimodal VLMs to fine-tuning GPT-4o for human-aligned behavior, reflecting a rare mix of multimodal, systems, and alignment expertise. Based in San Diego, he often bridges research prototypes and deployable components—refactoring model code into Keras layers and tuning training configs to accelerate real-world adoption.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science in Applied Math, Minor in Computing, with First Class Honours, Computational and Applied Mathematics, Bachelor of Science in Applied Math, Minor in Computing, with First Class Honours, Computational and Applied Mathematics at The Hong Kong Polytechnic UniversityUniversity of California, San DiegoMaster of Science in Data Science, Data Science, Master of Science in Data Science, Data Science at Columbia UniversitySummer Visiting Student, Applied Mathematics, Summer Visiting Student, Applied Mathematics at Stanford University
Chinese, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
keras10
machine-learning10
tensorflow10
python9
nlp9
Programming languages (3)
Github contributions (5)
tensorflow/models
Oct 2022 - Jun 2023
Models and examples built with TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:19 reviews, 2 PRs, 19 comments in 7 months
Contributions summary:Yufan primarily contributes to the development and maintenance of models within the TensorFlow ecosystem. Their work focuses on implementing and refining components for Long Range Arena (LRA) models, specifically related to Linformer and Mega encoder architectures. These contributions include the addition of new layers, adjustments to training configurations, and general improvements to the codebase. The user also refactors code to align with the Keras layer style and updates comments.
deep-learningtensorflow
EvanZhuang/MRI-Reconstruction-with-Sparse-Optimization
Oct 2017 - Aug 2019
Contributions:16 commits, 13 pushes, 1 branch in 1 year 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.