Z. Chen

UX Designer at Carnegie Mellon University

AI Ethics, Dashboard, Data, Web App. Designed WeAudit, a crowdsourcing AI bias auditing platform that engages end users to surface bias, producing 800+ audit reports and showcased to AI teams at Google, Amazon, Meta, Microsoft, and Apple. Partnered with AI researchers to uncover key information needs and ran card sorting with 4 participants to structure the information architecture of a tailored data-visualization dashboard. Led the visual and interface design, applying contemporary design trends (glassmorphism) to support both end users and researchers; work recognized with 3 international design awards.

Product Designer at Stealth Startup

Building a rental service ecosystem 0-to-1 for renter/agent/landlord to redefine the renting and moving experience, shaping mobile/web apps and built a scalable design system from the ground up. Established the information framework and user flows to bring clarity to complex journeys; led the concept and design of key features, including the AI-powered Smart DocuSign.

UX Designer at Carnegie Mellon University

Designed WeAudit, a crowdsourcing AI bias auditing platform that engages end users to surface bias, producing 800+ audit reports and showcased to AI teams at Google, Amazon, Meta, Microsoft, and Apple. Partnered with AI researchers to uncover key information needs and ran card sorting with 4 participants to structure the information architecture of a tailored data-visualization dashboard. Led the visual and interface design, applying contemporary design trends (glassmorphism) to support both end users and researchers; work recognized with 3 international design awards.

Product Designer at Stealth Startup (Remote Real Estate)

Building a rental service ecosystem 0-to-1 for renter/agent/landlord to redefine the renting and moving experience, shaping mobile/web apps and building a scalable design system from the ground up. Established the information framework and user flows to bring clarity to complex journeys; led the concept and design of key features, including the AI-powered Smart DocuSign.

UX Designer at Carnegie Mellon University

AI Ethics, Dashboard, Data, Web App; Designed WeAudit, a crowdsourcing AI bias auditing platform that engages end users to surface bias, producing 800+ audit reports and showcased to AI teams at Google, Amazon, Meta, Microsoft, and Apple; Partnered with AI researchers to uncover key information needs and ran card sorting with 4 participants to structure the information architecture of a tailored data-visualization dashboard; Led the visual and interface design, applying contemporary design trends (glassmorphism) to support both end users and researchers; work recognized with 3 international design awards

Product Designer at Stealth Startup

Building a rental service ecosystem 0-to-1 for renter/agent/landlord to redefine the renting and moving experience, shaping mobile/web apps and built a scalable design system from the ground up; Established the information framework and user flows to bring clarity to complex journeys; led the concept and design of key features, including the AI-powered Smart DocuSign

UX Designer at Carnegie Mellon University (Trust & Safety, Web App)

Architected WeAudit, a crowdsourcing AI bias auditing tool, streamlining workflows and adding AI-powered features for enhanced human-AI collaboration, resulting in over 800 user audit reports and winning 3 design awards. Translated complex bias detection data into an intuitive SaaS dashboard, simplifying workflows and improving researcher satisfaction by 25%, with demos to AI teams at Google, Amazon, Meta, Microsoft, and Apple.

Founding Product Designer at Stealth Startup (Real Estate, Mobile)

Leading a team of over 5 designers across 3 time zones to redefine the rental service platform, creating mobile and web applications, and building a scalable design system from the ground up. Managing the cross-functional roadmap and streamlining complex workflows for renters, agents, and landlords, accelerating feature time-to-market.

Product Designer at Opus Clip

Creator Tool, 2C, SMB, Web App. Spearheaded the design of a new AI-driven feature that automatically generates video drafts from past clips, enhancing content creation capabilities for 6M+ users in an agile environment. Led user research with 8 participants to validate proposed solutions and executed structured usability tests, refining workflows and interactions. Built interactive prototypes through 3 design iterations; expanded the design system with 3 new components (voiceover module, editing controls, prompt box); increased user satisfaction by 18%.

Product Designer at Opus Clip

Spearheaded the design of a new AI-driven feature that automatically generates video drafts from past clips, enhancing content creation capabilities for 6M+ users in an agile environment. Led user research with 8 participants to validate proposed solutions and executed structured usability tests, refining workflows and interactions. Built interactive prototypes through 3 design iterations; expanded the design system with 3 new components (voiceover module, editing controls, prompt box); increased user satisfaction by 18%.

Product Designer at Opus Clip

Spearheaded the design of a new AI-driven feature that automatically generates video drafts from past clips, enhancing content creation capabilities for 6M+ users in an agile environment; Led user research with 8 participants to validate proposed solutions and executed structured usability tests, refining workflows and interactions; Built interactive prototypes through 3 design iterations; expanded the design system with 3 new components (voiceover module, editing controls, prompt box); increased user satisfaction by 18%

Product Designer (Contract) at Opus Clip (SaaS, AI, Web App)

Spearheaded the design of SaaS features generating video stories from past clips, enhancing content creation for over 6 million users in an agile development environment. Conducted three rounds of user testing to define workflows and calibrate AI-assisted content generation, reducing manual editing time by 40% without compromising user intent.

Product Designer at Personalized Learning Squared: PLUS

Ed Tech, LL M, Gen AI, Web App. Directed end-to-end design of LLM-powered co-pilot from concept to launch, enhancing real-time tutoring capabilities for 500 tutors and helping over 3,000 students achieve better learning outcomes. Applied mixed-method research through 2 focus groups for needs assessment, 1 survey for concept validation, and cross-functional workshops with product and engineering to define the MVP. Conducted rapid prototyping using GPT Builder through 5 co-design sessions, leading to 12% reduction in math explanation time and 28% boost in student engagement through Co-pilot tooling.

Product Designer at Personalized Learning PLUS

Directed end-to-end design of LLM-powered co-pilot from concept to launch, enhancing real-time tutoring capabilities for 500 tutors and helping over 3,000 students achieve better learning outcomes. Applied mixed-method research through 2 focus groups for needs assessment, 1 survey for concept validation, and cross-functional workshops with product and engineering to define the MVP. Conducted rapid prototyping using GPT Builder through 5 co-design sessions, leading to 12% reduction in math explanation time and 28% boost in student engagement through Co-pilot tooling.

Product Designer at Personalized Learning SQUARED: PLUS

Directed end-to-end design of LLM-powered co-pilot from concept to launch, enhancing real-time tutoring capabilities for 500 tutors and helping over 3,000 students achieve better learning outcomes; Applied mixed-method research through 2 focus groups for needs assessment, 1 survey for concept validation, and cross-functional workshops with product and engineering to define the MVP; Conducted rapid prototyping using GPT Builder through 5 co-design sessions, leading to 12% reduction in math explanation time and 28% boost in student engagement through Co-pilot tooling

Product Designer at PLUS - Personalized Learning Squared (Ed-tech)

Directed end-to-end design of an LLM-powered co-pilot from concept to launch, enhancing real-time tutoring capabilities for 500 tutors and helping over 3,000 students achieve better learning outcomes. Conducted rapid prototyping using GPT Builder through five co-design sessions, leading to a 12% reduction in math explanation time and a 28% boost in student engagement through co-pilot tooling.