Nina Rhone
Enterprise AI Solutions Architect
From enterprise LLM integrations to full-stack products — I build what actually ships.
I'm Nina Rhone — an MIT graduate in Computation & Cognition (CS + Neuroscience) and currently an AI Solutions Architect at GUESS Inc. I've shipped client websites, trained machine learning models, built full stack web apps, and integrated AI into real workflows. I take projects from idea to deployed product. At GUESS Inc., I architect AI integrations across enterprise retail workflows — bridging the gap between model capabilities and business team needs.
WHAT I BRING TO ENTERPRISE AI TEAMS
- _Experience shipping AI tools inside a Fortune 500 retail environment (GUESS Inc.)
- _MIT background in Computation & Cognition — I understand models, not just APIs
- _Track record designing for non-technical stakeholders: prompt UX, knowledge base curation, guardrail design
- _Full-stack ownership from prototype to deployed, cloud-hosted product
Enterprise AI Integration
LLM workflow architecture, RAG systems, model fine-tuning, prompt engineering, and AI tooling designed for real business use cases and non-technical stakeholders.
Full Stack Development
End-to-end web apps built with Next.js, React, and modern tooling — designed, developed, and deployed. New builds or existing codebases.
Web Consulting
Client-ready web presences built or refreshed to spec — new pages, branding, UX improvements, and platform migrations that actually convert.
Ready to build something?
Whether you need a site built from scratch, an AI feature added to an existing product, or just want to talk through what's possible — reach out.