Summary
Dyno Fu is a Principal Software Engineer with 15 years of experience designing and operating large-scale data and infrastructure systems, currently leading platform work at Salesforce in Redwood City. He has a strong background building high-throughput ingestion and model pipelines (billion-events-per-minute logging, Kubeflow/Spark feature pipelines, EMR/Kubernetes deployments) and has repeatedly led projects from hackathon prototype to production-grade product. Comfortable across Python, Scala, Java and cloud-native tooling, Dyno blends deep systems debugging experience from VMware/Oracle with modern data engineering at Signifyd and Salesforce. He is particularly skilled at turning complex operational challenges—log analysis, cluster health, and model-serving infrastructure—into reliable, observable services. Notably, his career shows a pattern of rebuilding and scaling pipelines (Airflow, Kubeflow, Spark) to support both offline model training and online prediction at enterprise scale.
15 years of coding experience
16 years of employment as a software developer
Linqu No. 1 high school
Master Computer Science, Master Computer Science at Peking University
Bachelor Computer Science, Bachelor Computer Science at Dalian University of Technology