Heng Zhang is an engineer with 11 years of experience building large-scale data and ML infrastructure, currently at Sierra after a tenure as Staff Software Engineer at Pinterest where he led teams to design PB-scale ingestion, ETL, feature engineering and a 10x-scaled rule engine platform. His work spans real-time streaming, data lakehouse stacks, logging and queue systems using open-source technologies, with prior roles focused on Kafka-based ingestion, Solr/Lucene indexing, and Kubernetes microservices. A PhD-trained researcher, he has published on multimodal machine learning and mobile active authentication and spent time as a visiting researcher at Google ATAP, reflecting a strong bridge between research and production. He enjoys engaging the community—previous talks cover data infrastructure and applications—and is focused now on agent-driven systems, bringing both deep systems thinking and research-informed perspectives to product-scale challenges.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Maryland
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