Cong Yu
Head Of Engineering at Dandy
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolCong Yu is a seasoned engineering leader and researcher with over a decade of experience building ML-driven products and research teams across Google, Celonis, and high-growth startups. Currently Head of Engineering at Dandy, he applies advanced AI/ML, 3D/CAD, and automation to transform dental manufacturing while previously founding Celonis’s global AI organization and leading impactful research groups at Google. His work spans applied NLP and structured data—evident from contributions to fine-grained Chinese NER in the CLUENER2020 benchmark—and practical ML systems that improved news, health, and misinformation detection at scale. An active angel investor and trustee for VLDB Endowment, he blends deep academic training (PhD, University of Michigan) with product-focused execution and cross-continental team building. Notably, he has steered research-to-production efforts that shaped core Google products and scaled an AI org from a small Munich team into a global capability.
8 years of coding experience
18 years of employment as a software developer
Ph.D. Computer Science and Engineering, Ph.D. Computer Science and Engineering at University of MichiganB.S. Biology (Genetics), B.S. Biology (Genetics) at Fudan University风华中学市北中学
Chinese, English
Github Skills (15)
sequence-labeling10
named-entity-extraction10
named-entity-recognition10
entity-extraction10
tensorflow10
python10
data-processing9
machine-learning9
nlp9
data-analysis8
data-science8
modeling8
bert8
trainings8
sequence-to-sequence6
Programming languages (2)
Github contributions (5)
CLUEbenchmark/CLUENER2020
Jan 2020 - Jan 2020
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
Role in this project:
ML Engineer
ML EngineerContributions:7 commits, 5 pushes, 3 comments in 7 days
Contributions summary:Cong primarily focused on improving the existing named entity recognition model. Their contributions include updating data preprocessing scripts, fixing bugs related to label handling in the data processing pipeline, and modifying the model training configurations. They also made changes to the evaluation script. These updates suggest a focus on data preparation, model refinement, and performance evaluation within the context of fine-grained named entity recognition.
chinesebertentityseq2seqalbert
YC-wind/YC-wind.github.io
May 2019 - Dec 2020
Contributions:56 pushes, 1 branch, 1 comment in 1 year 7 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.