Zachary Paul is an author and software engineer with six years of recent experience and a two-decade span of engineering work across startups and large tech firms. He designs and ships production-grade systems—from large-scale concurrent processing and ML/NLP pipelines to client-side graphics and on-device ML—most recently building Coin Portrait AI, an iOS app that runs trained models and custom shaders entirely on-device to generate photorealistic coin images. At Snap he architected a sophisticated version control and prefab system for PlayCanvas that supports independent branching and conflict-free merges of deeply nested JSON, backed by DynamoDB and S3. His background includes systems-level C++ work (large-scale search, similarity clustering, and memory-safety analysis) and services built with Kafka, Python, and Ruby on Rails. Known for converting research-level ideas into robust production features, he pairs strong algorithmic thinking with practical engineering to optimize both performance and developer ergonomics. Based in Miami, he brings a cross-disciplinary blend of graphics, ML, and backend systems experience that surfaces in products that outperform established tools.
6 years of coding experience
17 years of employment as a software developer
MS, Computer Science, MS, Computer Science at University of California, Berkeley
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Zachary Paul - Author, Software Engineer at Coin Portrait AI