Custom AI applications
Full-stack products for enterprise workflows—from internal tools to design applications—built, deployed, and hardened for real users.
Explore product delivery →Enterprise AI engineering · delivery · enablement
Turn complex AI into dependable systems.
I design and build full-code AI products, enterprise agents, creative systems, and the delivery patterns behind them—then help teams operate, extend, and trust what ships.
Selective engagements
Full-code delivery
Client-safe portfolio
Full-code AI applicationsCodexClaude CodeGitHub CopilotGoogle Agent PlatformGoogle ADKMicrosoft Agent FrameworkLangChain + LangGraphMicrosoft FoundryCopilot StudioGenerative mediaVirtual try-onCustom orchestration
10+ yearsCloud, AI & technical enablement
MultipleProduction AI applications
Multi-patternAgent & application delivery
240+Employees enabled in AI
Architecture without allegiance
Use the right pattern for the work.
That might be Google ADK, Microsoft Agent Framework, LangChain or LangGraph, a platform-native builder, or a focused full-code service. Custom orchestration is available when the requirements justify it—not the default.
Inspect nine delivery patterns ↗01Experienceassistants · design tools · internal apps
02Pattern + integrationADK · Agent Framework · LangGraph · native
03Intelligenceretrieval · agents · vision · generation
04Operationsevaluation · telemetry · recovery · cost
Where I help
Build the product—and the system behind it.
Engagements can start with one critical architecture decision or extend through full-code implementation, deployment, and adoption.
Agent platforms & integration
Fit-for-purpose agent patterns across Google ADK, Microsoft Agent Framework, LangChain and LangGraph, platform-native builders, and custom infrastructure where needed.
See the systems work →Product design & generative media
Applied image-generation and virtual try-on systems developed with design and sportswear teams, not isolated creative demos.
Explore creative systems →Agentic engineering enablement
GitHub Copilot, Codex, Claude Code, and Google and Microsoft agent tools translated into working practices, reusable context, review systems, and governance.
See enablement →Working model
A short path to a clearer next move.
Find the actual constraint.
Align the business goal, system reality, team capacity, and risk tolerance.
Make tradeoffs visible.
Test the architecture and operating assumptions before they become expensive.
Leave capability behind.
Deliver the system, the operating pattern, and the context your team needs to own it.
Built from the inside
Advice shaped by operating enterprise AI.
My perspective comes from building multiple production applications, retail assistant and retrieval workflows, enterprise agent programs, creative AI systems, batch pipelines, and a custom orchestration layer inside a complex global enterprise—not observing delivery from the sidelines.
About Kelby →