Summary
Vein Kong is an AI Framework Engineer in the San Francisco Bay Area with 11 years of experience building scalable data and ML infrastructure across startups and large tech firms. He has deep hands-on expertise in cloud-native systems, having designed data lakes, high-throughput ingest pipelines, and model deployment stacks using technologies from Spark/EMR and BigQuery to Kubernetes, Go, and SageMaker. At companies like Stripe, Netskope, and Aquabyte he led efficiency and productionization efforts—rewriting ingest services, optimizing batch compute, and serving vision models at scale. His background spans low-level validation and factory automation at Intel to iOS and web apps, giving him an unusual blend of embedded, backend, and ML ops experience. Vein pairs an academic foundation in CS and mining massive datasets with a pragmatic focus on operational reliability and cost-performance tradeoffs. He’s the kind of engineer who moves projects from prototype to resilient production systems while keeping an eye on build-vs-buy decisions.
11 years of coding experience
20 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University of Southern California
Bachelor’s Degree Computer Science and Economics, Bachelor’s Degree Computer Science and Economics at University of Michigan
Chinese Studies, Chinese Studies at Peking University
Graduate Certificate Mining Massive Datasets, Graduate Certificate Mining Massive Datasets at Stanford University
English, Chinese