Ji Yuan is a Senior Software Development Engineer with nine years of experience building scalable backend systems and data-driven features at Amazon, combining production services, web apps, and ML pipelines. He holds an M.S. in Computer Science from Beihang University and has engineered high-throughput Spark and PySpark workflows, automated DL model training on EC2/GPU, and serverless data pipelines using AWS Lambda and DataPipeline. Notable impacts include a catalog-matching neural model that improved cross-language mapping accuracy by 10% and a bestsellers widget that contributed to a large projected revenue uplift. Fluent across Java, Scala, Python and JavaScript, he bridges backend architecture and frontend delivery, having shipped internal tooling and customer-facing widgets with Spring MVC and modern JS stacks. Beyond production work, his academic publications on sequential pattern mining and crowdsourcing reflect a strong research grounding that informs his practical systems design.
Contributions:74 commits, 65 pushes, 1 branch in 4 years 11 months
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