Summary
Beckett Dillon is a Senior Forward Deployed AI Engineer and founder who turns frontier research into production-grade agentic and multimodal AI systems for enterprise clients, delivering measurable impact such as multi-million dollar efficiency gains and 60% faster content generation. He pioneered the Entronaut Engine, a mathematical Information Geometry platform that processes sequential data in real time (10.4M DNA bases in 2.23s) to boost accuracy and reduce false positives, and built Ghostprint for zero-knowledge verification of synthetic media. At Adobe and agencies he architects full-stack, multimodal pipelines and autonomous multi-agent workflows that blend Runway, Sora, Pika, and 11 Labs with robust compliance guardrails. Equally at home in hands-on engineering and strategic advisory, he translates field learnings into repeatable frameworks, open-source models, and playbooks to help organizations move from experiment to production quickly. A multidisciplinary background spanning audio production, conservation field leadership, and custom fabrication gives him an uncommon systems intuition for building explainable, efficient AI that adapts across domains.
2 years of coding experience
1 year of employment as a software developer
Certificate A.I. Machine Learning and Data Science, Certificate A.I. Machine Learning and Data Science at Zero To Mastery Academy
Bachelor of Science - BS Computer and Information Sciences General, Bachelor of Science - BS Computer and Information Sciences General at Full Sail University
Associate of Arts and Sciences - AAS Natural Sciences and Computer Tech, Associate of Arts and Sciences - AAS Natural Sciences and Computer Tech at Ventura County Community College District