Rui Hu
@ruihu
Senior AI Engineer delivering enterprise LLMs, RAG, and MLOps to drive measurable business impact.
What I'm looking for
I’m a seasoned AI Engineer with “10+ years of experience delivering enterprise-scale software, machine learning, and Generative AI solutions.” I specialize in LLMs, RAG, and cloud-native architectures, with a focus on turning models into reliable products.
At 7-Eleven, I architected and led the development of enterprise-scale AI platforms for customer engagement, intelligent automation, and data-driven decisioning across multiple business domains. I designed and deployed Generative AI and Retrieval-Augmented Generation (RAG) systems for production use cases like semantic search, knowledge assistants, and workflow automation.
I established end-to-end MLOps frameworks on cloud infrastructure—covering scalable training, deployment, monitoring, and governance for production-grade machine learning. I also provide technical leadership across AI strategy and engineering teams, mentoring engineers and aligning architecture standards with business objectives.
Previously at SiriusXM, I developed large-scale recommendation and personalization systems for millions of streaming users. I built and optimized machine learning pipelines and distributed data processing for feature engineering, ranking models, and real-time inference, improving experimentation quality through A/B testing and model iteration.
Experience
Work history, roles, and key accomplishments
Senior AI Engineer
7-Eleven
Jan 2021 - Present (5 years 5 months)
Architected and led enterprise-scale AI platforms delivering generative AI and RAG production use cases such as semantic search, knowledge assistants, and workflow automation. Established end-to-end MLOps for scalable training, deployment, monitoring, and governance, providing AI technical leadership and mentoring across teams.
Developed large-scale recommendation and personalization systems for millions of streaming users, improving content discovery and engagement. Built and optimized distributed ML pipelines for feature engineering and ranking with real-time inference, using experimentation and A/B testing to improve recommendation quality while maintaining low-latency performance.
Education
Degrees, certifications, and relevant coursework
University of New Haven
Master of Science, Computer Science
2012 - 2014
Earned a Master of Science in Computer Science at the University of New Haven from 2012 to 2014.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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