Summary
Lingyun Gao is a data scientist with eight years of experience building ML systems across luxury retail, media, and art-tech, currently applying advanced modeling at LVMH in Shanghai. Previously a senior machine learning engineer at Bilibili, Lingyun led LLM fine-tuning and multimodal AIGC efforts while designing scalable training and inference pipelines for recommender systems. Early roles at Sotheby’s and research work at the University of Michigan ground a pragmatic blend of academic rigor and product-focused engineering. Educated at Columbia (MS Data Science) and the University of Michigan, Lingyun pairs electrical engineering fundamentals with modern data science practice. Known for optimizing large models and end-to-end data pipelines, she brings rare cross-domain experience from auction houses to high-scale content platforms. Colleagues appreciate her ability to translate complex probabilistic research into deployable ML solutions under production constraints.
8 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at University of Michigan
Master's degree, Data Science, Master's degree, Data Science at Columbia University
Bachelor's degree, Electrical and Computer Engineering, Bachelor's degree, Electrical and Computer Engineering at Shanghai Jiao Tong University