Available for AI & Automation Projects

✳ ENGINEERED WITH PURPOSE.

AI AUTOMATION & FULL-STACK DEVELOPMENT

Turning your ideas into intelligent systems

AI automation and full-stack solutions, from concept to deployment.

From an idea to a system that works for you.
Python FastAPI n8n Gemini Qdrant Docker JavaScript

01 / WHAT WE BUILD

Technology with a purpose.

Connected solutions, designed around what you actually need.

Workflow automation

Connect systems and automate repetitive work with n8n and APIs.

Discuss your idea ↗

Full-stack development

Intuitive interfaces and reliable, extensible FastAPI services.

Discuss your idea ↗

CLEAR LOGIC. CONNECTED EXECUTION.

Watch your idea come to life.

One request. A connected sequence that works for you.

SAMI / AUTOMATION STUDIOVISUAL DEMO
ϟWebhookReceive request
✳AI AgentUnderstand & classify
⑂Smart RouterChoose a route
▦DatabaseSave record
↗NotificationDeliver result
n8nGEMINIAPI

Receiving a request and preparing data

An illustration inspired by n8n workflows. No data is sent and no real operations run.

02 / SELECTED WORK

From challenge to solution.

Enterprise Multi-Tenant RAG AI System with Contextual Memory and Workflow Automation02 / الذكاء الاصطناعي والأتمتة (AI / Automation)
الذكاء الاصطناعي والأتمتة (AI / Automation)

Enterprise Multi-Tenant RAG AI System with Contextual Memory and Workflow Automation

Designed and built an intelligent enterprise assistant via Telegram, providing instant technical support based on company-specific PDF documents. The system serves multiple organizations simultaneously (Multi-Tenant) while ensuring complete data isolation. It features an automated n8n workflow for dynamic query routing and LangGraph integration to provide the AI agent with session memory, enabling it to understand context and answer complex follow-up questions naturally. The backend is powered by FastAPI and connected to a Qdrant vector database for precise, source-backed information retrieval. The architecture was developed and strictly tested in a stable, isolated Docker environment to ensure compatibility, making it fully cloud-ready for seamless deployment and operation across any plat

AI-Powered Pharmacy Assistant Telegram Bot03 / الذكاء الاصطناعي والأتمتة (AI / Automation)
الذكاء الاصطناعي والأتمتة (AI / Automation)

AI-Powered Pharmacy Assistant Telegram Bot

An AI-powered pharmacy assistant Telegram bot built with advanced RAG automation workflows. The system integrates cloud-hosted n8n workflows and Qdrant vector retrieval for accurate medical data querying, alongside Google Sheets synchronization. It includes robust LLM fallback logic to ensure consistent and reliable responses. Presented for An-Najah National University in collaboration with UNDP and the Women's Affairs Center, the system was tested using Docker and is fully scalable and deployable to any cloud environment.

BEHIND THE SYSTEMS

Sami Meqdad

Full-stack · Automation · AI

THE APPROACH

Less complexity.
More clarity.

I'm Sami Meqdad, a full-stack developer specializing in AI automation. I build websites, integrated systems, AI assistants, and RAG solutions. Using n8n, Python, and FastAPI, I connect applications and data to turn ideas into practical, scalable solutions.

Let's talk about your idea ↗

03 / THE PROCESS

Every step, intentional.

01

Discover

Define the problem, the users and the desired outcome.

02

Design

Map the experience, architecture and integrations.

03

Build

Develop the system and test each workflow.

04

Launch & refine

Prepare deployment, documentation and ongoing improvement.

AI SOLUTION ARCHITECT

✳

Today's idea.
Tomorrow's blueprint.

Describe your challenge. Get a structured technical analysis to help you take the next step.

TECHNICAL ANALYSIS · NO FINANCIAL ESTIMATES

Your text is sent to the configured AI service. Do not include sensitive information.

04 / BEHIND THE SYSTEM

See the pieces connect.

EDUCATIONAL SIMULATION
01Receive a request
02Understand the data
03Apply the rules
04Deliver the result

Simulation: a new request enters the workflow.

An illustration only; no data is sent and no real actions are executed.

AI writing playground +

05 / SHARED KNOWLEDGE

Ideas worth sharing.

06 / FAQ

Questions before we start.

Short answers about the process, technology and data. Another question? Ask SAMI AI or send your request.

What services do you offer?

Workflow automation with n8n and APIs, conversational AI assistants, RAG knowledge systems with Gemini and Qdrant, and full-stack websites, apps and FastAPI services.

How does a project start?

Send a short description through the request form. I review it, get in touch to understand the problem and the outcome you need, and we agree on a technical blueprint and clear milestones before any build starts.

Can the solution connect to the tools I already use?

Usually, yes. Integrations run through APIs and webhooks with tools such as Google Sheets, Telegram, databases and CRMs, and every integration is validated during the analysis phase.

How long does a project take?

It depends on scope and the number of integrations. Once requirements are clear you get a phased timeline you can follow, usually starting with a small first version you can try.

Do you work with clients in other countries?

Yes. Work is fully remote, in Arabic or English.

How is my data handled?

Request data is only used to respond to your request, secrets live in server configuration rather than code, and each system is built with the least privileges it needs. See the privacy policy for details.

Do you offer support after delivery?

Every project ships with operating documentation, and ongoing improvements after launch can be agreed based on your needs.

YOUR NEXT CHAPTER STARTS HERE

Let's build
something that matters.

Tell me about your idea and the challenge behind it. I'll review your request and get in touch to discuss the next step.

  • Every request is reviewed personally
  • An initial conversation about the idea and next step
  • Remote work, in Arabic and English
SAMIDEVELOPER ↗