Yuguang Zhang is a senior software engineer based in San Francisco with 14 years building data-intensive backend systems, analytics platforms, and provider-facing web apps for healthcare and operations. He specializes in agentic AI workflows and has led end-to-end data engineering efforts—designing ETL and streaming pipelines (Spark, Kafka, Airflow), datamarts, and observability that support partner SLAs and automated report validation. Yuguang has driven architectural upgrades and reliability work, from Airflow 2 migrations and high-availability staging to scalable Redis job systems and Elastic Search syncs that materially improved search relevance and throughput. He pairs deep systems experience (Elixir, Kubernetes, Helm) with practical ML/AI productization, having contributed to LLM prompt engineering for nutrition parsing and integrated models into user-facing flows. Notably, his work often focuses on measurable impact—reducing report generation times, increasing test coverage dramatically, and shortening hospital stays via real-time operational tooling. He holds an MSc in Computer Science from the University of Waterloo and blends research-grade rigor with startup execution.
14 years of coding experience
12 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at University of Waterloo
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Yuguang Zhang - Senior Software Engineer at Curamatic