AI architect and web designer building systems that are useful, reliable, and commercially viable.
I specialize in AI architecture and web design for startups, agencies, and enterprises. I combine deep technical expertise with a designer's eye for craft — building AI systems that actually ship, and websites that perform.
US-based, working globally. I've designed and shipped AI-powered products, internal tools, and marketing sites for clients across North America and Europe.
What this includes
My background spans full-stack engineering, AI/ML research, and web design — which means I can architect the AI layer, design the user experience, and ship production code all in one workflow.
AI Architecture
Designing the system behind AI products: model selection, retrieval pipelines, orchestration layers, data flow, and production deployment. I focus on systems that are accurate, reliable, and measurable.
Web Design & Development
Building fast, accessible, modern websites and marketing pages. I design the visual experience and code it — no handoff friction, no compromises on performance or accessibility.
Custom AI Knowledge Bases
Building AI-powered internal wikis and document systems that turn scattered company knowledge into accurate, citable, search-native answers your team actually uses.
AI SaaS Development
Helping founders and teams launch AI products with strong UX, scalable architecture, effective onboarding, monetization strategy, and product sense built in from day one.
Approach
From raw material to running AI.
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01
Understand the problem
Start with the user, the data, the constraints. No solutions yet — just a clear picture of what needs to be solved and why it matters.
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02
Design the architecture
Map the system: models, retrieval, storage, APIs, monitoring. Choose the simplest architecture that handles the hardest cases.
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03
Prototype the riskiest part
Validate the pieces with the highest uncertainty first. Prove the concept before committing to a full build.
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04
Ship and iterate
Launch what works, measure what matters, and improve continuously. The best systems evolve from real usage, not perfect planning.
Outcomes
What gets better after launch.
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Production-ready AI systems
Not prototypes. Systems designed for accuracy, latency, cost control, and reliability from day one.
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High-performing websites
Fast, accessible, beautifully designed sites that convert visitors and rank well in search.
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Clear implementation roadmaps
Actionable plans that engineering teams can execute — no handoff ambiguity, no missed dependencies.