Product Design, AI
Einstein Copilot
This portfolio piece highlights my contributions to two pivotal projects at Salesforce, focusing on enhancing user autonomy and engagement within our Gen AI solutions. These projects not only addressed critical user experience challenges but also resulted in significant innovation, earning industry recognition and multiple design patents.
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Designing Gen AI with Human in the Loop
Purpose: Empower users to personalize the AI Copilot
Key Features: Voice & Tone Customization, Bias Detection, Content Control, Comparison Tools, Profile-Based Adjustments
Award: Most Impactful Hack for Trusted AI Leadership
Designing a Loading State for Gen AI content
Purpose: Enhance trust and engagement through motion design and clear messaging
Key Features: Conversation Flow, Wait & Load States, Scalable Figma Patterns
Award: 4 Design Patents for AI Motion Interaction
Problem & Vision
As a smoker who is seeking to quit, I want an easy way to track my smoking, access resources, and work toward a smoke-free habit to lead a healthier lifestyle, without having to seek in-person counseling.
The Vision
Partner with Fred Hutch to create an app focused on smoking cessation based on the proven treatment method of Behavioral Activation Therapy for Depression, while being accessible without in-person therapy sessions.
The Focus
Our focus was to target depressive symptoms to help smokers quit.
There is a correlation between smoking and depression in adults. Adults with depression are more likely to be current cigarette smokers than non cigarette smokers, and depressive symptoms are associated with failure of quitting or nicotine withdrawals.