You will get AI Systems Architect | Hybrid Memory & Vector Specialist
Project details
Stop building AI that forgets. Most developers hand you a basic chatbot wrapper and a monthly bill. I build Intelligence Engines. I specialize in "ownership-first" development, giving you a robust, scalable platform that you own entirely—no "SaaS tax" and no recurring fees.
What this Project Delivers:
I will build a custom, full-stack web application (Next.js/Node.js) that transforms your unstructured data into a visual, organized dashboard.
Semantic Clustering: I use vector embeddings to automatically group mentions, logs, or feedback into thematic "clusters." You see the big picture immediately.
Persistent Memory: Integration of MemoryKeep logic, ensuring your AI retains context across user sessions.
Interactive Visualization: A clean, modular UI using D3.js or Recharts so you can explore your data intuitively.
The Tech Stack:
Frontend: Next.js / React / Tailwind CSS
Backend: Node.js / TypeScript
Database: Supabase (PostgreSQL + pgvector)
AI: OpenAI GPT-4o / Anthropic Claude
Why Me?
I am a 55-year-old developer with 18 years of problem-solving experience. I don't just follow tickets; I guide your technical architecture to ensure it’s solid, secure, and stays yours.
What this Project Delivers:
I will build a custom, full-stack web application (Next.js/Node.js) that transforms your unstructured data into a visual, organized dashboard.
Semantic Clustering: I use vector embeddings to automatically group mentions, logs, or feedback into thematic "clusters." You see the big picture immediately.
Persistent Memory: Integration of MemoryKeep logic, ensuring your AI retains context across user sessions.
Interactive Visualization: A clean, modular UI using D3.js or Recharts so you can explore your data intuitively.
The Tech Stack:
Frontend: Next.js / React / Tailwind CSS
Backend: Node.js / TypeScript
Database: Supabase (PostgreSQL + pgvector)
AI: OpenAI GPT-4o / Anthropic Claude
Why Me?
I am a 55-year-old developer with 18 years of problem-solving experience. I don't just follow tickets; I guide your technical architecture to ensure it’s solid, secure, and stays yours.
Programming Languages
HTML & CSS, Java, TypeScriptCoding Expertise
Performance Optimization, Security, DesignWhat's included
| Service Tiers |
Starter
$800
|
Standard
$2,500
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages | 1 | 3 | 6 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$300
API Optimization Audit
(+ 4 Days)
+$250
Semantic Cluster Seeding
(+ 5 Days)
+$600Frequently asked questions
About Julia
AI Chatbot Developer & Custom AI Assistant Builder
Cincinnati, United States - 9:43 am local time
CUSTOM AI ENGINEERING: OWNERSHIP-FOCUSED SYSTEMS
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Most businesses are trapped in expensive monthly SaaS platforms that limit their growth. I build custom, owned AI infrastructure using real code—eliminating subscription fees and giving you total control over your data and customer interactions.
► WHAT I SOLVE
I bridge the gap between complex AI capabilities and practical business results. With 18 years of experience as a business owner and nearly a decade in full-stack development , I build logic from the ground up to ensure your AI matches your brand’s voice and operational needs.
► THE "CODE OWNERSHIP" DIFFERENCE
I specialize in custom code (Vercel, Supabase, GitHub) rather than "no-code" wrappers.
• NO SAAS LOCK-IN: You aren't stuck paying a monthly fee just to keep your bot "alive."
• TOTAL SOVEREIGNTY: Your data stays in your environment, protected by your own security keys.
• BESPOKE SCALABILITY: Your system grows based on your needs, not a platform's pricing tier.
► CORE EXPERTISE
▪ WEB & MOBILE AI: Seamlessly deploying AI assistants onto existing platforms.
▪ LEAD-GENERATION ENGINES: Proactive bots that qualify prospects and automate inquiries.
▪ CUSTOM DASHBOARDS: Interfaces like "WidgetAssist" to manage multiple AI deployments.
▪ MEMORY ARCHITECTURES: Implementing "MemoryKeep"—a graph-native memory OS.
▪ KNOWLEDGE-BASE AUTOMATION: Turning internal docs into a private intelligence layer.
► MY PROVEN PROCESS
1. STRATEGIC DISCOVERY: Identifying support volume, lost leads, or fragmented data.
2. ARCHITECTURE DESIGN: Mapping "Human-in-the-Loop" workflows for total editorial control.
3. CUSTOM BUILD: Using a modern stack (React, Node.js, Supabase) for stability.
4. OWNERSHIP HANDOVER: I hand over the "keys." You own the repository and the deployment.
► CASE STUDY: THE ZENITH PUBLISHER ENGINE
I developed the Zenith Publisher Engine, an AI-agnostic controller for digital product creation:
• MASTER PROMPTING: Engineering strategic briefs for external LLMs.
• EDITORIAL HUB: A cockpit for refining drafts and managing media.
• BESPOKE OUTCOMES: Transforming content into Ebooks, Blogs, and Pitch Decks.
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If you are ready to start OWNING your intelligence, let’s talk.
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Steps for completing your project
After purchasing the project, send requirements so Julia can start the project.
Delivery time starts when Julia receives requirements from you.
Julia works on your project following the steps below.
Revisions may occur after the delivery date.
Intelligence & Memory Architecture
I architect the brain first. I implement the MemoryKeep hybrid engine, setting up Graph (Neo4j) and Vector (pgvector) databases. This ensures your AI has persistent contextual awareness and relationship mapping before we build the frontend.
Custom Data Logic & Pipeline Development
I build the plumbing. I connect LLM APIs to your data flows and create custom logic for real-time processing. This is where the technical work happens—ensuring the AI understands your business rules and clusters data accurately.