Yucheng Tu
Machine Learning Engineer at Pinterest
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolYucheng Tu is a Machine Learning Engineer based in New York with nine years of experience and 5+ years focused on industrial R&D in large language models, multimodal systems, and computer vision. He holds a PhD in Applied Mathematics from UC San Diego and began his career blending teaching and research before moving into production ML at AWS, where he optimized quality, latency, and throughput for LLM and multimodal models. Now at Pinterest, he applies that applied-science rigor to scale real-world recommendation and content understanding systems. Known for bridging deep mathematical foundations with engineering pragmatism, he excels at turning research insights into production optimizations that improve user-facing performance.
9 years of coding experience
3 years of employment as a software developer
University of California, San DiegoBachelor of Science - BS, Bachelor of Science - BS at Tsinghua University
Github Skills (12)
deep-learning6
machine-learning6
gradient-boosting4
storage3
wandb3
shap3
shapley2
hybrid2
transformers2
lora2
huggingface-transformers1
peft1
Programming languages (2)
Github contributions (5)
g1677321/yusim
Apr 2017 - Jan 2018
Contributions:2 releases, 41 commits, 10 PRs in 8 months
hybridstorage
yuchengml/Adaptation-Tuning-PEFT
Jan 2024 - Feb 2024
Comparison of different adaptation methods on PEFT for fine-tuning downstream tasks or benchmarks.
Contributions:14 reviews, 24 PRs, 21 pushes in 1 month
huggingface-transformersllm-finetuninglorap-tuningpeft
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