01
Start with the user's work
Great software begins with understanding the workflow—the task, the context, and what people need to accomplish. Product decisions come before technology choices.
Senior Frontend Engineer · AI Product Engineering
Software where AI belongs in the workflow—not beside it.
I help teams integrate AI naturally into production software—purpose-built experiences, solid frontend craft, software people trust. Senior frontend engineer, full-stack when it matters, 10+ years in complex B2B products.
What I build
AI integrated into production software—designed around how people actually work.
I design and build AI-enabled web applications where the interaction model fits the task, outputs are structured and reusable, and the interface stays reliable under real use. Frontend engineering and product thinking at the center.
Product decisions first. Thoughtful implementation across the stack to match.
01 · Principles
How I think about AI products
Beliefs that guide how I design and build.
02
Choose the right interaction
Chat, copilots, structured flows, or automation—each task deserves the interaction model that supports it best. The interface follows the work.
03
Design for clarity and trust
Progress users can see, outputs they can review and edit, interfaces that remain understandable when AI takes time or needs correction.
04
Build for the long term
Maintainable architecture, solid frontend craft, and software structured to evolve as the product grows. AI is one capability within a well-designed product.
Frontend and UX are essential parts of successful AI products. That is where capability becomes software people rely on.
02 · Approach
My approach
From early prototype to production—grounded in how your users work.
Start with the workflow
What is the user trying to accomplish? Where should AI assist, automate, or stay out of the way? That map comes before frameworks or providers.
Design for trust
Long runs need visible progress. Outputs need structure users can edit. The interaction model fits the task—conversation, structured steps, or both.
Build for production
Reusable UI patterns, typed boundaries between app and agent services, code your team can extend after the engagement ends.
Ship in collaboration
I work alongside your engineers, designers, and product owners—especially when a POC needs to become something customers will actually use.
Typical builds: React, Next.js, TypeScript—integrated with your existing backend and agent layer.
03 · Work
What I help teams build
Production AI experiences designed around real user workflows.
Purpose-built AI interactions
Assistants, copilots, and structured flows designed for how your users actually work—from interaction design through production UI and integration.
The right interaction for the task
Chat, copilots, multi-step flows, or structured outputs—chosen based on what the work requires, with review surfaces and quality checks built in.
From prototype to product
Turn working prototypes into maintainable software your team can extend—solid frontend foundations that carry forward into production.
Frontend architecture that outlasts the POC
Component systems, state, and API boundaries built to scale—when you need one senior engineer to own the user-facing system end to end.
Interfaces that hold up under real use
Thoughtful UI for progress, editable outputs, and clear feedback—interfaces that remain dependable when agent runs take time.
Clarity before you scale the team
Architecture reviews, focused spikes, and scoped builds when you need a clear path forward before committing more people.
04 · Working together
What you can expect
Frontend first. Full-stack when it matters.
Product thinking at the center
A senior frontend engineer focused on shipping software where AI fits the product naturally—grounded in user needs and product context.
Task-first product design
I start with how people adopt AI inside their job—the task and context guide every product and interface decision.
Frontend-first perspective
A foundation in graphic design, 10+ years building frontend software. That shapes how I design AI experiences—purpose-built for the work, integrated where users already are.
End-to-end product engineering
Frontend is my core strength, but I work comfortably across Node.js and Python backends—integrating APIs, AI services, and the infrastructure needed to ship complete products.
Pragmatic collaboration
I work closely with product and engineering teams throughout development—balancing user needs, technical trade-offs, and the long-term health of the software you are building.
Start a conversation
Have an AI feature in mind?
Share where you are today and what you are trying to build. I am happy to explore whether there is a good fit and what a sensible first step might look like.
Email me to start