Principal Product Designer — AI Strategy, Design Systems & Generative UI
Leading AI product strategy from concept to ship—designing human-centered workflows for LLMs, agents, and generative features at enterprise scale.
Designing adaptive interfaces that respond to AI outputs in real time—prompt flows, streaming results, and context-aware layouts.
Scalable, accessible component libraries built for AI-native products—unifying branded applications and accelerating development.
Just as engineers use digital twins to test jet engines and optimize factories, a new era is dawning for software development. Imagine an AI-powered, code-based replica of your application – a digital twin that allows designers to prototype features, conduct user testing, and experiment with variations in a live, functional environment.
View Project →In today's digital product landscape, the role of product designers has become increasingly focused on deliverables, particularly Figma prototypes that serve as blueprints for software development. While these technical outputs are crucial, this narrow focus risks creating a dangerous void in the creative process. The result? Product designers who are metaphorically starving for the essential nutrients of innovation: direct user observation and ethnographic research.
View Project →AI-powered experiences offer exciting possibilities, but their unpredictability, potential for misinterpretation, knowledge gaps, and limitations in handling complexity can hinder their use. This article explores why AI isn't always the answer and the importance of balancing innovation with human control and established interfaces.
View Project →If you've ever watched the animated sitcom "Bob's Burgers," you might remember the episode "The Equestranauts," where Bob, armed with misinformation about a beloved children's show, ends up hilariously out of his depth at a fan convention. While the episode serves up a good laugh, it also unknowingly reflects a serious challenge in the world of artificial intelligence: the impact of bad training data on the user experience. This can lead to significant issues for Human-AI Experiences (HAX).
View Project →Large language models are powered by advanced artificial intelligence algorithms that have revolutionized our interactions with technology. However, despite their remarkable capabilities, users often need help leveraging these models.
View Project →Building modern applications requires a lot of knowledge and expertise. At the highest level, it includes considering users needs, an interface, saving & requesting data, hosting, and deployment. Typically teams of people, each with expertise in a specific function are required to build a single application. The bigger a project gets, the more specialized the individuals become focusing on an increasingly smaller part of the broader application.
View Project →First things first this is not an article about how UX professionals should learn to code (while I do agree with that statement). The field of UX is growing not just in the number of people, but the scope of work that falls under the UX umbrella. UX principles are everywhere you can find a bunch here (http://www.designprinciplesftw.com/). However, the field of computer science has a few principles that would be beneficial to learn and apply to UX.
View Project →We often think about the “critical path” for users when designing workflows. This is very important as it helps us understand how we want the user to progress through the application. Doing this helps give the application a defined path of progression.
However, it is a mistake to end there.
View Project →Straightforward business models are becoming antiquated. Over the years, there has been a trend for companies to diversify and multiply their business models in an attempt to up their profits. After all, it’s only logical that diversifying would allow a company to reach a broader market and therefore reach more paying customers.
But there’s a problem. Having multiple business models can severely limit each one because a company can’t focus on everything at once. Their brand message suffers from a lack of clarity in the market, and their overall growth suffers because each pillar of the business isn’t getting the leadership, time, and vision it needs. In short, they do an average job at seven different things rather than an excellent job at one or two things.
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