Designed AI-assisted workflows that transform complex, data-heavy sources into structured workspace content, including slides, infographics, charts, and videos. Worked on an AI Agent that guides users from research and source selection through layout, theming, and final content generation, enabling an end-to-end creation experience. Focused on professional training use cases across healthcare, coaching, and consulting, improving clarity and efficiency in information-to-presentation workflows.

• Spearheaded the design and successful FDA clearance of MamaLift and MenoLift, digital

health tools supporting perinatal and menopausal mental health.

• Owned end-to-end UX across onboarding, modular CBT content, gamification, and AI-pow

ered personalization. Established scalable design systems and information architecture.

• Designed and launched the “Achievement Garden,” a gamified engagement framework

featuring 100+ original visual assets, driving measurable improvements in user retention.

• Served as a cross-functional bridge across design, engineering, clinical, and leadership

teams, delivering research-backed AI insights through UI/UX designs, PRDs and SOPs.

• Directed redesign of an AI-powered video editing interface for marketers and podcasters, improving usability and content flow.

• Defined and scaled the multimodal conversational UI workflows integrated with generative AI worflows, guiding the product team toward innovative interaction models.

• Led UI/UX decision-making across multiple content modalities, ensuring scalability for

diverse user goals.

• Designed and deployed AI chat assistant MVP, achieving 91% user satisfaction. Led design of payment and mass messaging tools that saved 37 minutes per customer.

• Collaborated with prompt engineers to iteratively test, revise, and implement prompts—balancing UX flow and LLM constraints in conversion-critical scenarios.

• Conducted user interviews and UX audits to align AI features with real-world sales and onboarding use cases.

• Balanced UX/UI with the constraints of our base LLM model to improve interaction performance and support customer workflows in conversion-critical scenarios.