Design Process

I collaborated closely with data scientists and ML engineers to define and implement the UX/UI strategy, ensuring accuracy, accessibility, and impact. Taking a human-centered design approach, I conducted stakeholder interviews with our internal team to identify usability challenges and inform design decisions. Since this was a new product without external partners for testing, we relied heavily on internal usability testing to validate design assumptions and refine interactions. Through iterative prototyping and testing, we optimized the interaction model, information architecture, and data visualization. My focus was on translating complex machine learning outputs into clear, actionable interfaces, allowing users to navigate and interpret data with confidence.

To support this, I built a branded design system from the ground up, establishing a scalable framework of UI components, typography, and interaction patterns to ensure consistency across the platform. I also worked closely with data scientists to design custom charts and data visualizations, ensuring they accurately represented intricate relationships while remaining intuitive for non-technical users.