Yankun Xi
首席技术官 at VOGUE DIFFUSION
Dübendorf, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolYankun Xi is a machine learning–driven CTO based in Dübendorf, Zurich, with three years of hands-on experience building production AI products that bridge research and product design. He has led end-to-end systems from virtual try-on models using Stable Diffusion and LoRA fine-tuning to an AI agent that summarizes user reviews, combining frontend, backend, and algorithmic work. His academic background in computer science and mathematics (Purdue, Wayne State) underpins published research in generative models and novel theoretical work on generalization, reflecting a comfort with both theory and engineering. Comfortable in collaborative teams and solo research, he brings domain knowledge in computational biology and practical experience processing clinical and gene expression data. Permission to work in Switzerland (Permit B) and a preference for pragmatic, efficiency-focused solutions distinguish his profile from purely academic ML practitioners.
2 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, 3.79, Master of Science - MS, Computer Science, 3.79 at Wayne State UniversityBachelor of Science (B.S.), Mathematics, 3.84, Bachelor of Science (B.S.), Mathematics, 3.84 at Purdue UniversityMaster's degree transferred out, Computational Biology, Master's degree transferred out, Computational Biology at Carnegie Mellon University
Github Skills (39)
artificial-intelligence10
named-entity-recognition10
entity-extraction10
chatgpt10
relation-extraction10
pre-trained-model10
rome10
llama10
extraction10
large-language-models10
prompt10
knowledge-graph10
natural-language-processing10
survey10
foundation-models10
Programming languages (3)
Github contributions (5)
zjunlp/OmniThink
Jan 2025 - Mar 2025
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
Contributions:3 PRs, 19 pushes, 22 comments in 2 months
artificial-intelligencedeepseek-r1deepseek-v3generationgpt
zjunlp/EasyEdit
Jul 2023 - Mar 2025
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
Contributions:19 PRs, 214 pushes, 1 branch in 1 year 8 months
artificial-intelligencebaichuanchatgptcknowediteasyedit
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