Austin Chi is a Director of Machine Learning Operations with nine years of experience building production-grade ML systems and scalable GPU inference for edge-to-cloud deployments. Based in Anaheim, he has led architecture and delivery for a frictionless retail product—designing automated cart services, real-time product recognition, and action-detection platforms for safety use cases. He migrated bare-metal systems to Kubernetes-based cloud and hybrid architectures, built low-latency observability stacks, and authored an engineering onboarding curriculum that accelerated new hire productivity. Comfortable both as an ML engineer and software engineer, he combines hands-on model and inference pipeline design with systems-level DevOps and data infrastructure expertise. His background in statistics and experience proofreading econometrics research underline a data-driven rigor that informs both model validity and production reliability.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Arts and Science (B.A.S.) Economics And Statistics, Bachelor of Arts and Science (B.A.S.) Economics And Statistics at University of California, Davis
Master's degree Statistics, Master's degree Statistics at University of California, Riverside
Contributions:217 pushes, 1 branch in 3 years 3 months
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Austin Chi - Director Of Machine Learning Operations