Minghan Li is a Software Developer II with nine years of experience building data-driven backend systems, currently driving recommendation and ad-efficiency pipelines at Amazon. He combines strong data engineering skills (PySpark, event streaming, S3 optimization) with a background in Ruby services and Elasticsearch to deliver robust, scalable production systems. Past roles include improving observability and CI/CD at Fullscript and building mobile analytics and voice-integration components earlier in his career. His GitHub focus on information retrieval, open-domain QA, and retrieval-augmented LLMs hints at a deeper interest in search and ML-enabled retrieval beyond his day-to-day engineering work. Minghan is known for pragmatic optimizations—such as cutting daily S3 uploads by terabytes and making long tasks idempotent—that materially improve cost and reliability. Based in Old Toronto, he blends hands-on implementation with measurable operational impact.
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