● Designed and delivered a generative AI health chatbot (called MIHA), focusing on trust and transparency, collaborating with AI engineers to integrate user-centric features that increase adoption.
● Conducted detailed visual QA across developed interfaces, identifying and documenting 85+ UI inconsistencies against Figma specs, improving design accuracy and reducing post-launch issues.
● Owned the design of three research studies including survey, participatory design workshops, and usability testing to learn about frictions in using gen AI apps and voice assistants for health information.
● Conducted 40+ usability testing sessions for AI-powered health applications, synthesizing insights into actionable design improvements that enhanced usability and engagement.
● Analyzed qualitative and quantitative data from surveys, usability studies, and co-design workshops, translating findings into design recommendations that directly influenced adoption rate on AI products.
● Led and mentored a multidisciplinary team of 8 (designers, researchers, and developers), driving alignment across research, design, and engineering to deliver cohesive product experiences.