David Freelan is a data scientist and AI practitioner with 11 years of experience, currently leading data science and product efforts at Equidox PDF Accessibility Solutions from his base in Westlake, Ohio. He spent five years as a graduate research assistant in AI at George Mason University, translating research into practical accessibility tooling that automates PDF remediation. At Equidox he combines research-driven models with hands-on product delivery to improve document accessibility for organizations. His background includes quality assurance at Hyland Software, giving him an appreciation for robustness and reproducible pipelines in production. Known for bridging academic AI work and applied engineering, he focuses on measurable impact for users with disabilities rather than purely theoretical results.
Contributions:15 pushes, 1 branch in 1 year 2 months
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