AI systems architect and full-stack AI product engineer specializing in LLM-based intelligent applications, multi-agent systems, and modern web technologies. Experienced in designing end-to-end AI product architectures from planning to deployment, with strong focus on scalable software engineering.
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AI Marketing OS is an AI-powered marketing command center designed to help businesses centralize knowledge, automate marketing workflows, and coordinate specialized AI capabilities from one intelligent system.
I designed and built the product architecture around a shared Marketing Brain that combines business knowledge, market context, and learning memory. The platform uses a centralized AI orchestration layer to provide relevant context to specialized workflows for research, SEO, content, creative, advertising, analytics, and video.
Key capabilities include:
AI-powered business and brand knowledge system
Business, Market, and Learning Memory
LLM-based reasoning and workflow orchestration
Specialized AI modules for Research, SEO, Content, Creative, Ads, Analytics, and Video
Context-aware AI workflows using shared knowledge
Human review and approval before execution
Persistent data and memory using Supabase
Secure tenant-level data isolation
Feedback loops that allow the system to improve from previous marketing activity
Modern web application architecture built for scalable AI product workflows
My work covered the product architecture, AI system design, knowledge and memory architecture, workflow design, frontend/backend integration, and implementation across the product lifecycle.
Core technologies and areas
AI Product Architecture · LLM Applications · OpenAI · AI Agents · Next.js · Supabase · Knowledge Systems · AI Automation · Product Engineering
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