With an academic background in interactive art installations and professional experience in electronics and code, I approach design with an interest in the relationship between people, technology, and information systems. I believe that understanding how people think and behave, how the technologies available to us work, and how the two continuously evolve in tandem and in relation to each other is critical for creating experiences that are truly engaging, useful, and delightful.
I lead design and research efforts on People.ai’s admin and configuration experience while contributing to the research, design and, refinement of the core product.
I lead design and research efforts on People.ai’s marketing and customer support usecase. I established research guidelines and best practices for our Product team, as well as streamlined and rebuilt the team’s component, icons and color libraries into a design system.
I conducted qualitative research and quantitative analysis to support the design, engineering, and launch teams on projects including Ridecell Fleet Ops, GIG Car Share, and Penske Dash; methods include contextual inquiry, funnel analysis, and GIS mapping.
I developed and created design patterns and principles, user flows, and information architecture for Ridecell’s white-label mobile apps. I also helped design and text new features for customers including BMW, AAA, and Ferrovial.
I created new chart and table templates for SPSS Statistics based on modern color, typography, and accessibility standards. I redesigned and relaunched IBM’s Predictive Analytics Online Community. I also created concepts and prototypes for a single-window UI/UX redesign for SPSS Statistics based on IBM’s design language.
I worked on the design of an internal data analytics utility for assessing the user onboarding and retention funnel. I conducted research on developers, product managers, and executive assistants, and I also built prototypes using Flinto and HTML/CSS/JS.