• Led stakeholder interviews and synthesized business requirements to define product vision, roadmap, and UX strategy for an AI content platform; established KPIs contributing to $1.8M MVP funding. Launch generated 12,000+ visits and 863 active users in month one, driving steady growth.
• Conducted user interviews, competitive analysis, and UX audits to identify pain points and frame high-impact problem statements. Translated insights into personas, journey maps, and JTBD frameworks to guide prioritization.
• Designed an AI co-pilot translating multimodal inputs into goal-driven workflows; used rapid prototyping, usability testing, and A/B testing to refine micro-interactions and complex AI behaviors in collaboration with PM, 2 designers, and 2 engineers.
• Built a semantic tagging system leveraging RAG and human-in-the-loop feedback, using data analysis and performance monitoring to improve reliability while maintaining user control.
• Developed a modular design system (70+ components) and UI kit, defining typography, color, responsive standards, and WCAG 2.2 accessibility. Delivered UI specs, annotations, and redlines for developer handoff, reducing concept-to-handoff time in Agile sprints.