Peter Tan is a Director of Technology with a decade of hands-on experience designing data architectures, machine learning pipelines, and hybrid cloud/on-prem migrations. He blends daytime leadership—driving ML productionization, server-less GCP transformations, and enterprise search—with nighttime full‑stack development and a background in game development and industrial engineering. His career ranges from building high‑availability MSSQL infrastructures and Solr search clusters to modernizing monoliths into Dockerized ETL microservices and streaming Kafka pipelines. Known for taking ownership of mission‑critical systems, he has repeatedly improved performance and reduced storage costs through pragmatic architecture and automation. Based in Irvine, CA, he pairs economics and computer science training from UC Irvine with a founder‑level CTO pedigree that grew a hosting startup into an Inc. 5000 business.
Contributions:38 commits, 29 pushes, 2 branches in 9 months
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