AI-Powered Application

Partnered with C-suite stakeholders to define a visionary 3D digital twin platform poised to disrupt apparel design and retail. Led strategic alignment workshops and requirement discovery sprints using Miro and Figma, translating executive goals into 30+ prioritized user stories focused on real-time pattern simulation, fit visualization, and supply chain integration. Established a cross-functional objective framework that unified product, engineering, and UX teams. Result: accelerated MVP roadmap by 6 weeks, secured Series A validation, and delivered a scalable 3D foundation adopted by 5 major fashion brands for virtual try-on and made-to-order workflows.

Recruited 12 industry veterans (pattern makers, garment technicians, and 3D modelers from Nike, Lululemon, and PVH) to co-create authentic mental models for digital twin garment design. Led immersive knowledge-capture sessions using contextual inquiry, card sorting, and live sketching in Clo3D, extracting 200+ tacit rules on drape, seam logic, and fabric physics. Synthesized insights into a reusable AI training dataset and Figma-based interaction library for pattern-to-3D workflows. Outcome: reduced digital twin errors by 64%, cut expert review cycles from 5 to 1, and enabled non-technical designers to generate production-ready 3D prototypes in under 30 minutes—powering the platform’s core disruption in virtual fashion.