Jiatong User
@jiatonguser
I build scalable backend and generative AI shopping systems for millions of customers.
What I'm looking for
At Amazon, I've built distributed backend systems, search relevance platforms, and AI-powered shopping experiences for millions of customers. I currently own backend architecture for Rufus, Amazon's conversational shopping experience, using Java and Python services to orchestrate LLM inference, product retrieval, and shopping APIs.
I've built Retrieval-Augmented Generation pipelines across product catalog data, customer reviews, and shopping knowledge sources, improving grounded AI responses by 18%. I also reduced end-to-end conversational AI latency by 35% through caching, request optimization, and distributed-service tuning.
Across Amazon Stores, Search Relevance, and AWS storage infrastructure, I've delivered production AI platforms, distributed data pipelines, cloud APIs, and operational tools. I enjoy taking systems from early architecture through reliable production growth while partnering with scientists, product teams, and engineers.
Experience
Work history, roles, and key accomplishments
Owned backend architecture for Amazon's conversational shopping experience (Rufus), designing Java and Python services that orchestrate LLM inference, product retrieval, and shopping APIs. Built Retrieval-Augmented Generation pipelines and AI evaluation systems, improving response quality and reducing latency by 35%.
Education
Degrees, certifications, and relevant coursework
University of Pennsylvania
Master of Science, Computer Science
2013 - 2016
Master of Science in Computer Science from the University of Pennsylvania from 2013 to 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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