Shuqian Ye
Deep Learning Specialist at 之江实验室 Zhejiang Lab
Shenzhen, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolShuqian Ye is a Deep Learning Specialist with a PhD from CUHK Shenzhen and 10 years of experience building large-scale biomedical LLMs and genomic AI systems. He has led cross-institutional teams and end-to-end pipelines for pretraining, SFT, RLHF, RAG and agent workflows, and personally engineered a 135B-token biomedical corpus and large-scale paper-cleaning pipelines. His work at Zhejiang Lab and BGI Genomics produced state-of-the-art models for variant pathogenicity and phenotype prediction (e.g., 021 series outperforming comparable models by large margins) and automated AI agents that improved evidence extraction and gene-reporting accuracy. Equally at home in production and research, he combines ML engineering, prompt/RAG design and domain knowledge to ship tools used by hundreds of support staff with >97% satisfaction. A less obvious strength is his background in physics/chemistry-informed GNNs and multi-task modeling, which gives him uncommon expertise in integrating biological priors into deep models.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Information Engineering, Doctor of Philosophy - PhD Computer Information Engineering at The Chinese University of Hong Kong, Shenzhen 香港中文大学（深圳）University of California, Los Angeles
Chinese, English, Chinese
Github Skills (91)
parser10
python10
orchestration10
graph-convolutional-networks10
llmops10
ai10
gemini10
gpt10
chatbot10
agent10
gateway10
cuda10
genai10
pytorch10
backend-as-a-service10
Programming languages (5)
Github contributions (5)
yippp/FSRCNN
Feb 2018 - Jun 2019
Contributions:31 commits, 6 pushes, 3 comments in 1 year 4 months
XI-Lab/SY-GNN
Jul 2020 - Jun 2023
Contributions:1 push, 1 branch in 3 years
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