Ian Lofgren is an engineering manager with 11 years of experience building and scaling distributed AI/ML and data infrastructure, currently accelerating ML training at Zoox. He has led teams that operate petabyte-scale, multi-modal datasets and thousands of GPUs, bridging research and production with reliable, observable training and inference platforms. His background spans hands-on systems work—from data pipelines and database fleets at CircleCI to ML frameworks at Torc—paired with hiring, mentorship, and process-driven team growth. Based in California, he combines deep technical fluency with a pragmatic focus on performance profiling and optimization, often collaborating cross-functionally to turn research prototypes into production-grade systems. An early-career mix of front-end and backend work gives him a practical appreciation for the full stack of ML delivery, not just the model.
11 years of coding experience
9 years of employment as a software developer
University of California Santa Cruz
Computer Science, Computer Science at City College of San Francisco
a node.js client for the recurly recurring billing api
Contributions:1 push, 1 branch in 5 years 8 months
apijs-clientrecurring-billingnode-jsbilling
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