Vol. 01 · Edition 2026 Updated April 2026
Portfolio · Vol.01

Raffaele
Francesco
D’Amato

AI Developer & Founder · Automation Builder

I build chatbots, automations and dashboards that cut operational time and give back data control. Real outputs, not demos. Measurable from day one.

Download CV (PDF) → See projects
N°01

About — who I am

I’m an Italian AI Developer and Founder. I build practical tools that combine artificial intelligence, automations and full-stack development. I work on systems that cut repetitive tasks, give back data control and accelerate operational decisions.

I’m enrolling in a Computer Science degree to consolidate the theory behind what I already build in production. My background is technical-aeronautical — precision, complex systems, attention to detail are things I bring to the code.

I work in Italian (native) and technical English (AI/API documentation). Italy, remote-first, open to concrete collaborations.

N°02

Selected Work

Universal Form Compiler — Chrome extension screenshot
Featured · Open Source · MIT

Universal Form Compiler

Chrome Extension · TypeScript · 2026

Chrome extension that auto-fills any web form from your personal data. Multi-document, anti-hallucination guards, semantic mapping via OpenAI with strict scrubbing on sensitive fields (IBAN, passwords, CVV). Vanilla TypeScript + Vite + Zod, no UI framework. 6-phase architecture with AI Pass 1+2 and anti-hallucination validation.

TypeScript Vite Zod Mammoth Vitest OpenAI API Chrome MV3
View on GitHub → Read the README
N°02

RDD Italia Chatbot

AI assistant integrated for client requests and corporate document lookup, with automated data handling. Reduced repetitive requests, faster access to information.

2025 · Enterprise
Python · FastAPI · Supabase
N°03

AquaMind AI

Interactive dashboard with automated services and dynamic content. Platform with AI assistant and external API integration for simple content management.

2025 · SaaS
API · Database · Dashboard
N°04

Web Management + Chatbot

Login area, client dashboard and chatbot for automatic updates. Centralizes clients, work progress and communications — fewer manual updates, cleaner process.

2025 · Enterprise
FastAPI · Supabase · SQL
N°05

RDD Client Dashboard

Project status monitoring with secure access, notifications and intuitive interface. Cuts ping-pong communications, continuous monitoring.

2024 · Internal
Supabase Auth + DB
N°03

Capabilities — what I build

i.

Chatbots & AI Assistants

Contextual assistants with document retrieval (RAG) and natural responses on real corporate data. They handle frequent requests autonomously, integrating with existing systems.

PythonLLMRAGVector DBFastAPI
ii.

Automations & Integrations

Workflows between email, CRM, databases and APIs to eliminate manual steps and reduce process errors. Reliable orchestration with n8n and custom code where needed.

n8nPythonRESTWebhookOAuth
iii.

Dashboards & Web Apps

Platforms with login, user management and real-time KPIs. Solid backend API + reactive frontend to monitor activity and performance without fragility.

FastAPISupabaseSQLJSAuth
iv.

AI Setup & Roadmap

Initial discovery with priorities, timelines and concrete technical roadmap. For those who want to start cleanly without burning budget. Output: document + working prototype.

DiscoveryRoadmapPrototypeArchitecture
N°04

Approach — three principles

i.

Surgical efficiency

Automation isn’t magic, it’s engineering.

I cut the superfluous to leave room for value. Every component exists because it removes real friction, not because it’s nice to have.

Example: in the RDD dashboard, the chatbot replaced 4 manual touchpoints with 1 structured conversation, reducing internal response times.

ii.

Applied intelligence

I don’t use AI because it’s trendy.

I use it when it solves problems that were previously impossible or too expensive. When a heuristic does the same job, I write the heuristic.

Example: in Universal Form Compiler, before calling the AI I run a local fast-path (autocomplete, name=email). Only remaining fields go to the model, and anti-hallucination is system-level guard, not optional.

iii.

Measurable releases

Every project starts from a KPI.

Response time, hours saved, errors reduced, conversions up. Reports are automated and readable by management too.

Example: for every chatbot I track auto-resolution rate, average latency, accuracy on real test sets. Numbers land in a dashboard weekly, no need to ask.

N°05

FAQ — frequent questions

Medium-complexity chatbots or n8n flows take 2-4 weeks: discovery, prototype, real-data testing, release. Full web dashboards: 4-8 weeks.

No. We map data, sources and APIs to integrate together. If you have CRM or help desk I plug in, otherwise I propose a lightweight stack (Supabase + FastAPI) from scratch.

I set KPIs upfront: response times, cost per ticket, conversions, team hours saved. Automated weekly reports readable by non-technical stakeholders.

Remote-first from Italy. Available for on-site discovery or kick-off sessions, async work for the rest. Standard tools: Slack/Teams, Linear/Notion, Loom for demos.

Python for AI/automation backend, TypeScript for frontend and tooling, FastAPI + Supabase as a fast stack, n8n for workflow orchestration, OpenAI/Anthropic for LLMs. Pragmatic choices, optimized for time-to-release.

Yes. Universal Form Compiler is open source on GitHub under MIT — github.com/raffaelefrancescodamato-ai/universal-form-compiler. For NDA enterprise projects I share architecture summaries and demos.

N°06

Want to propose a collaboration?

Tell me what you want to improve. I’ll reply with a concrete proposal — goals, stack, timeline, next steps.

raffaelefrancesco.damato@gmail.com
GitHub LinkedIn Instagram

“Real outputs, not demos. Measurable from day one.”