Yibo Hu is a founder and software engineer with eight years of experience building backend systems at scale, currently leading aiattention.ai to quantify brand visibility across generative AI models. Previously he engineered production systems at Amazon and developed vehicle monitoring and warehouse management backends at BYD, bringing strong Java/Spring and distributed-systems chops. Frustrated by single-shot prompts, he designed a reproducible approach—high-frequency sampling and proprietary metrics like the AI Attention Score and Stability Index—to transform marketing guesswork into measurable signals. Based in Bellevue and holding an engineering master's from UT Austin, he bridges hardcore LLM engineering with practical marketing impact, turning statistical nuance into enterprise-grade products. An operator who moved from automotive and corporate engineering into startup founding, he uniquely combines production reliability with experimental AI tooling.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Engineering, Master's degree, Engineering at The University of Texas at Austin
Bachelor's degree, Engineering, Bachelor's degree, Engineering at University of Wisconsin-Madison
ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence (NAACL 2022)
Contributions:77 commits, 93 pushes in 7 months
nlpnaacllanguage-modelpoliticalpre-trained
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