• Directed the zero-to-one design of Paira, a "request-first" networking platform that replaces cold outreach with AI-driven intent matching, successfully leading the product from concept to a fully functional Beta launch in Jan 2026.

• Designed the conversational UI/UX for "Ask AI," translating complex natural language inputs into intuitive semantic matching results, ensuring a seamless and human-centric AI interaction experience.

• Engineered the "swipe-to-match" and "Bounty Board" interaction models, creating high-fidelity prototypes that successfully balanced rapid gamified engagement with meaningful professional connection building.

• Owned the mobile design system and component library, establishing a robust visual language that ensured UI consistency and component reusability, accelerating the engineering handoff and development cycle.

• Spearheaded end-to-end mobile design for startups, delivering user-centric iOS/Android apps from "zero-to-one" concepts to App Store launch.

• Defined mobile-first strategies and interaction patterns, creating high-fidelity prototypes that directly optimized user engagement and retention.

• Collaborated with external mobile engineers to oversee the design-to-development handoff; conducted rigorous QA to ensure compliance with Human Interface Guidelines (HIG) and Material Design standards.

• Streamlined the mobile lifecycle by defining MVP scopes and agile processes, efficiently translating client requirements into launch-ready products.

• Designed the gamified Reward Center and habit loops, applying behavioral frameworks to drive retention and align teams for the App Store launch.

• Validated UX decisions via usability testing with 100+ beta users, translating feedback into iterations achieving ~88% satisfaction for clarity and motivation.

• Designed and implemented an automated matching system using Monday.com for volunteers and citizens of Dearborn, reducing manual workload, eliminating the need for a custom app, and saving over $500,000 in development costs.

• Facilitated the onboarding of 100+ active users within the first month of system launch, enabling over 40 seniors and citizens with disabilities to receive assistance during winter 2024.

• Designed Model Insight, a data/model management platform used by 200+ internal stakeholders in eBay's Risk department, streamlining data/model processing and risk investigation with a user-centric approach.

• Collaborated with 11+ stakeholders and conducted competitive analysis on four key competitors to design and refine eight features, increasing model handling efficiency by 25% and achieving a 95% user satisfaction rate.

• Established consistent UI design elements to enhance handoff accuracy and efficiency, reducing development time by 35%.