Jack Davies is a founding engineer and distributed systems builder with nine years of experience designing data pipelines, event-driven architectures, and full-stack services across startups and financial institutions. Based in San Francisco, he has led the Insights team at daisee—owning architecture, delivery, and cross-functional collaboration—and recently moved into a founding role at Sphere to scale large, multi-tenant systems. Technically fluent in Haskell, TypeScript, Python and AWS serverless and container platforms, he has shipped infrastructure like Squizzy (an Avro/S3/SQS abstraction), a multitenant auth layer with Lambda@Edge authorizers, and robust DB migration/testing tooling. He blends hands-on implementation with strategic planning and mentorship, and his background in data science and graph/NLP research informs a pragmatic approach to analytics-driven products.
9 years of coding experience
6 years of employment as a software developer
The University of Hong Kong (HKU)
Bachelor of Commerce / Bachelor of Science, Bachelor of Commerce / Bachelor of Science at Monash University
Define communication protocols between applications using algebraic data types.
Contributions:10 PRs, 9 pushes, 4 branches in 1 year 1 month
algebraic-data-typescommunication-protocol
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