Dylan Isaac is the founder of an AI accessibility consultancy with a decade of experience designing systems that extend human capability rather than replace it. He combines deep accessibility expertise and hands-on AI engineering, having led development of axe Assistant at Deque and architected vectorized knowledge pipelines for contextual, role-specific remediation. Dylan has shipped multi-agent and RAG-powered solutions that dramatically reduce false positives and scale semantic remediation—work now applied to projects like Equalify for the University of Illinois Chicago. He teaches and advises widely, from Coursera courses to NSF-aligned research collaborations, and will speak at CSUN 2025 on liberating content from inaccessible formats. Based in Buffalo, NY, he practices what he calls "enablement engineering": building AI that learns context, translates intent, and keeps humans in control—often by turning messy documents into machine-readable semantic experiences.
10 years of coding experience
9 years of employment as a software developer
Bachelor's Degree Information Science, Bachelor's Degree Information Science at Christopher Newport University
Contributions:45 PRs, 155 pushes, 48 branches in 2 years 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.