Zehua Li is a Senior Member of Technical Staff based in Seattle with 11 years of experience building large-scale ML and data infrastructure. At AWS he led ML infrastructure and feature-store migrations that processed petabyte-scale data and supported 5,000+ models trained daily, achieving major performance gains and sub-200ms inference latencies across regions. Now at Salesforce, he continues to apply deep systems and MLOps expertise—combining Python, Java, Spark, Iceberg, SageMaker and event-driven automation—to operationalize real-time ML at scale. His background in electrical engineering and hands-on hardware prototyping early in his career gives him a practical systems mindset that informs efficient, production-ready designs.
11 years of coding experience
4 years of employment as a software developer
Master's degree computer software engineering | information systems, Master's degree computer software engineering | information systems at Northeastern University
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Michigan State University
Contributions:1 PR, 15 pushes, 1 branch in 8 months
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Zehua Li - Senior Member Of Technical Staff at Salesforce