Creative Technologist & AI Agent Developer
I design and build production-grade AI agent systems — from single-agent RAG pipelines to multi-agent orchestration frameworks. My work spans agentic workflow design, retrieval-augmented generation, prompt engineering, full-stack AI applications, and enterprise AI architecture.
Based in US & EU/Ireland.
🌐 paulforlando.com | 💼 LinkedIn | 📧 Available for freelance & consulting
Single Agents → Multi-Agent Systems → Enterprise Orchestration Pipelines → Full-Stack AI Applications
I focus on agents that are production-ready — properly configured, defensively prompted, and designed to fail gracefully. Not just demos.
| Agent | Pattern | Stack | Demo |
|---|---|---|---|
| AI Agent Team Supervisor App | Supervisor Pattern | OpenAI Agents SDK · Next.js · FastAPI · ChromaDB | 🔗 Live |
| Data Analysis Agent App | Interactive Data Agent | Claude Code · Next.js · FastAPI · OpenAI · Recharts | 🔗 Live |
| Deep Research Agent App | Full-Stack Research App | Claude Code · Next.js · OpenRouter · Exa AI · TypeScript | 🔗 Live |
| AI Document Generator | LLM Chain + Quality Gate | n8n · OpenRouter · GPT-4.1 · LangChain | — |
| AI Agent Team — Supervisor Pattern | Supervisor Orchestration | Flowise AgentFlows V2/V3 · GPT-4o · LangChain | — |
| AI Food Chatbot Agent | Agentic RAG + Tool Routing | Flowise · GPT-4o · Postgres · OpenAI Moderation | — |
| AI Multi-Agent Content Pipeline | Sequential Multi-Agent | Flowise · GPT-4o · FAISS · RAG | — |
| AI Web Research Agent | RAG + Web Scraping | Flowise · GPT-4o-mini · FAISS · Cheerio | — |
| AI Research Assistant RAG | Lightweight RAG | Python · OpenAI · NumPy · Scikit-learn | — |
| Data Analysis Agent | Custom GPT | GPT-4 · Python · Pandas · Scikit-learn | — |
Agent Design — tool routing, prompt engineering, multi-agent orchestration, supervisor patterns, retrieval-augmented generation, hallucination detection, moderation, memory, full-stack AI applications
Stack — Flowise · LangChain · OpenAI API · Python · FastAPI · Next.js · TypeScript · OpenRouter · Exa · Postgres · FAISS · Neon · Supabase · Claude Code · Railway · Vercel
Disciplines — 3D Visualization · Generative AI · Data Analytics
Every agent in this portfolio is built with the same standard:
- Explicit, rule-based system prompts — no vague instructions
- Tool descriptions written as policies, not labels
- Temperature tuned to the use case — not left at default
- Failure modes addressed — iteration caps, moderation, fallbacks
- Production considerations documented — memory, security, deployment
Open to collaboration on agent design, AI workflow architecture, and creative technology projects.