Currently designing WhAI end-to-end, an AI-driven platform that transforms complex business data into data-driven actionable decisions. Recently introduced AI-assisted design as a tool to accelerate ideation and super-fast prototype development to gather earlier stakeholders feedback while still maintaining a design thinking process and outcome quality.
Key Contributions:
• Cross-functional collaboration: Close collaboration daily with Machine Learning engineers, data scientists, Product Marketing and Go-to-market teams to translate complex AI capabilities into intuitive, human-centered interfaces.
• AI features design patterns: Design for specific to AI products and features through best-practices currently being built in the industry, ensuring transparency and good communication to the end user to decrease time to value (TTV), frustration and help jobs to be done completion.
• Design systems advocate: Creation, maintenance and governance of the design systems using Figma, thanks to a vice versa technical fluency for seamless developer handoff.
• AI-driven tools for designers: Enhanced the design thinking process as we know it from concept to ideation, personas mockups, prototypes, ecc by balancing the usage of AI-driven design tools together with traditional design tools to improve sharing ideas to stakeholders, cross teams, user testing and iterating.
• Data-driven design decisions: Used real user monitoring (RUM) analytics via Datadog to inform design decisions, iterations and measure product impact
• Ship fast, go deep: Led fast design cycles, balancing when to ship fast and when to go deep without compromising quality or timing.
• Technical collaboration: Work closely with development teams, utilizing design tokens, atomic design and technical fluency in React, Tailwind, Apache echarts, etc.
