I build React and Firebase web apps, Node.js backends, and AI agents that automate real business work. My featured project, TechNetwork, is an AI recruitment platform that scores CVs for ATS compatibility and matches candidates to jobs with semantic search.
I'm Mohammad Al Bzoor, a Full-Stack Developer and AI Automation Engineer based in Amman, Jordan. I build React and Firebase web applications, ASP.NET Core and Node.js backends, and AI agents with n8n, OpenAI, and vector search.
My work goes beyond interfaces. I've built a two-stage RAG pipeline with Pinecone and Cohere for recruitment, a WhatsApp assistant with voice transcription and calendar scheduling, an expense tracker that reads receipts with GPT-4 Vision, and a Telegram assistant powered by the Model Context Protocol (MCP).
I've worked as a full-stack intern at the Royal Scientific Society, trained engineers at the Jordan Engineers Association, and freelanced for clients since 2025. I studied Computer Science at Al al-Bayt University. I care about clean, maintainable code and clear communication, and I'm open to full-time and freelance opportunities, locally and remotely.
A comprehensive graduation project and recruitment platform connecting developers with hiring companies through ATS CV analysis, semantic candidate search, and portfolio profiles.
Technologies: React.js, Tailwind CSS, Custom CSS, Axios, REST APIs, Laravel, MySQL, n8n, OpenAI, Pinecone, Vector Embeddings, Semantic Search
A modular resume generation platform orchestrated across 10 specialized n8n sub-workflows, converting Telegram user dialogues into standardized PDF resumes.
Technologies: n8n, Telegram Bot, OpenAI GPT-4, MySQL, n8n Sub-Workflows, PDF Generation, JavaScript
A multi-platform autonomous AI assistant operating across WhatsApp and Messenger, integrating voice transcription, external tool execution, and live web research.
Technologies: n8n, OpenAI GPT-4, OpenAI Whisper, WhatsApp, Facebook Messenger, Evolution API, Meta API, Perplexity AI, SerpAPI, Google Calendar, Gmail, Google Sheets, Twitter/X, Wikipedia, HackerNews, Buffer Window Memory
A five-workflow financial intelligence suite providing receipt OCR extraction, transaction analysis, conversational advisory, OTP security, and push notifications.
Technologies: n8n, OpenAI GPT-4 Vision, OpenAI GPT-4, REST Webhooks, Structured Output Parser, Gmail API, Conversation Memory, Push Notifications
Issuer: JOIN Fincubator & JoPACC | Date: 2026-07
Phase 1 Concept Evaluation Qualifier
Issuer: Udemy (Mohamed Elshamy) | Date: 2026-03-10
Certificate of Completion (32.5 Hours)
Issuer: Udemy (Ahmed Boghdady & Index Academy) | Date: 2026-07-11
Certificate of Completion (33 Hours)
Issuer: Devrabic (Mike Majdalani) | Date: 2024-08
Certificate of Completion
Have a question about working with me? Here are some quick answers.
Mohammad Al Bzoor offers full-stack web development with React, Firebase, and Node.js, REST API development, e-commerce solutions, and AI automation. His AI work includes agents and workflows built with n8n, OpenAI, and vector search. Examples include Tesla Coffee (a digital menu with a POS cashier system), an E-Commerce REST API with Stripe payments, and WAgent Chatbot (a WhatsApp and Messenger AI assistant).
He works with React.js, Tailwind CSS, and Vite on the frontend, and Node.js, Express, and ASP.NET Core on the backend. For data and cloud he uses Firebase, MongoDB, MySQL, and SQL Server. For AI and automation he uses n8n, OpenAI, Google Gemini, Pinecone, Cohere Rerank, and the Model Context Protocol (MCP). He chooses the stack based on what fits each project best.
Yes. Mohammad Al Bzoor handles projects from structure and UI design through frontend and backend development, database integration, APIs, and deployment. Tesla Coffee is an example: he designed and built the customer storefront, POS cashier interface, Firebase data architecture, inventory dashboard, and reporting, and deployed it on Firebase Hosting.
Yes. He builds AI-powered workflows and agents with n8n, OpenAI, and vector search. His projects include Alpha Finance (receipt OCR with GPT-4 Vision), Secretary MCP (a Telegram assistant using the Model Context Protocol), and a two-stage RAG recruitment pipeline with Pinecone and Cohere. These systems connect services such as Gmail, Google Calendar, WhatsApp, and Telegram to automate repetitive tasks.
Yes. Mohammad Al Bzoor can review an existing codebase, fix issues, improve performance and user experience, and add new features. He has worked with freelance clients since 2025 and is open to both freelance and full-time collaboration, locally in Jordan and remotely.
Contact Mohammad Al Bzoor on WhatsApp or LinkedIn. Send a short description of your idea, requirements, or existing project, and he will review the details and discuss the next steps.
