Wyneisha Williams

WORK HISTORY

EDUCATION

ABOUT WYNEISHA WILLIAMS

I specialize in making information findable, structured, and meaningful—at scale. With experience across taxonomy development, metadata governance, digital asset management, and public-facing library services, I bring a strong blend of information science rigor, AI-enabled classification expertise, and user-centered thinking.My work sits at the intersection of libraries, taxonomy, and machine-assisted systems. I’ve designed and governed large-scale taxonomies categories supporting millions of products), established metadata standards and QA workflows, and supported ML- and LLM-assisted classification pipelines by translating taxonomy rules into machine-readable logic, auditing model outputs, and improving training data quality through structured human review.My background spans eCommerce classification, DAM/PIM workflows, content operations, and public library reference services across media organizations and large public institutions. Whether improving AI-driven search and browse experiences or helping a patron navigate research resources, my work is grounded in clarity, accuracy, and accessibility.I’m open to contract-based taxonomy and metadata engagements, particularly short-term or project-based work involving audits, taxonomy design, remediation, or AI-readiness initiatives.I’m passionate about connecting people—and systems—with the right information at the right time.