Cullen Watson is an AI software engineer based in Dallas specializing in production-grade generative AI and cloud-native MLOps, with a track record of turning complex business needs into scalable systems that deliver measurable ROI. He operates Cullen Watson LLC and holds hands-on roles across startups and enterprise environments, recently contributing AI engineering at AudienceLab and prior full-stack and software engineering roles at companies like AssetWorks, WEX, and Sabre. His core expertise spans AI agents and multi-agent orchestration, RAG-based document intelligence, and architecting resilient deployment pipelines. Combining a multidisciplinary academic background in computer science, statistics, and finance with ongoing MS work in Artificial Intelligence at Johns Hopkins, he brings both quantitative rigor and product-focused pragmatism. Notably, he emphasizes engineering solutions that prioritize operational performance and real-world impact over research for its own sake.
4 years of coding experience
1 year of employment as a software developer
Johns Hopkins University
BA Computer Science | BS Statistical Science | BBA Finance, BA Computer Science | BS Statistical Science | BBA Finance at Southern Methodist University
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Contributions:70 releases, 1 review, 157 PRs in 2 years 5 months
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