Paul Preibisch is a pragmatic full-stack software engineer with 14 years of experience building scalable web platforms and AI-driven automation, equally at home designing Laravel backends and React/Node frontends. He has delivered high-throughput systems—optimizing subtitle processing for millions of records, building a platform to generate 10,000+ educational images, and implementing microservices and queues for multi-tenant enterprise apps with 850+ endpoints. A hands-on architect and remote worker, Paul combines test-driven design, SOLID practices, and cloud-first deployments (AWS, Heroku, SQS) to produce production-ready solutions that reduce maintenance and developer overhead. He contributes to open-source (Shrimp Task Manager MCP Server), explores agentic programming and AI orchestration, and brings a rare blend of educator mindset and engineering rigor—he once created a virtual Second Life learning world used by thousands, reflecting his creative approach to problem solving. Based in Canada and often working from Mexico, he’s open to AI/automation projects, technical architecture consulting, and building systems that scale.
14 years of coding experience
16 years of employment as a software developer
Bachelor of Science (BS), Computing Science, Bachelor of Science (BS), Computing Science at Simon Fraser University
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