Anjali MaJan

Reviewed 150+ UI/UX-focused samples and provided structured evaluation feedback on layout quality, interaction design, and consistency across model outputs. Documented 80+ output defects including broken layouts, inconsistent components, unnatural interactions, and design-pattern deviations for engineering review. Applied 25+ evaluation criteria to assess AI-generated UI/UX content, scoring usability, visual hierarchy, component consistency, and interaction accuracy across web, mobile, and dashboard contexts.

Architected a multi-round AI interview workflow from 0 to 1, reducing recruiter onboarding time by 7x and boosting adoption by 4x through user research and testing. Scaled information architecture to support multi-service expansion (interviews, resume, phone screening) using AI-assisted prototyping tools. Translated AI-parsed resume data into a structured screening interface and consolidated candidate performance insights into unified feedback reports, reducing recruiter review time by 58%. Designed role-based access controls and audit trails for 30+ enterprise clients, and built a WCAG AA-compliant design system with a website redesign contributing to a 2026 TiE Global win.

Investigated declining return visits for a news app through user interviews, surveys, and competitive research, identifying engagement gaps to guide product direction. Partnered with the product manager to conceptualize and iterate on a 0-to-1 gamified news feature integrating editorial content with clues, hints, and scoring, including usability testing. Led design from concept through engineering handoff within a 4-week sprint, resolving navigation and gameplay friction and aligning delivery with stakeholders, resulting in improved retention and positive feedback and award recognition.