Maya Ziv is a software engineer with eight years of experience building reliable, data-driven systems and APIs, currently contributing to Pavilion after focused work on attack-surface management at Censys. She bridges research and production: at Stanford she compiled a public database of 90,000 autonomous systems to support internet measurement while later designing low-latency Golang APIs, ingestion pipelines, and inference microservices in Kubernetes for customer attribution. Comfortable across Python, Go, C++, Postgres, BigQuery and Terraform, she enjoys breaking complex systems to make them more robust, secure, and user-friendly. Maya also brings hands-on product and event experience—shipping interactive game systems, Discord bots, and tooling that improved developer efficiency—demonstrating a knack for translating experimental prototypes into production-ready solutions.
8 years of coding experience
7 years of employment as a software developer
High School General, High School General at Canyon Crest Academy
Master's degree Computer Science, Master's degree Computer Science at Stanford University
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