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Montajab98/README.md

Hi, I'm Montajab Al-Hussein

AI Engineer focused on applied Generative AI, document retrieval, and workflow automation.

I build Python applications and connect AI tools to practical workflows. My public projects cover bilingual summarization, retrieval across engineering documents, image-generation automation, and a computer-vision graduation project.

Based in Sharjah, UAE, and interested in AI engineering opportunities involving LLM applications, document intelligence, and automation.

Selected projects

Project What is published Technologies
Banking Engineering Intelligence Copilot Importable RAG workflow, sample documents, and architecture screenshots; an n8n prototype, not a production banking system. n8n, Ollama, Qdrant
AI Document Summarizer Streamlit application for English or Arabic summaries of pasted text, with adjustable length and text download. Python, Streamlit, Google Gen AI SDK
AI Image Automation n8n and ComfyUI workflow exports, an example payload, and local setup instructions. n8n, ComfyUI, SDXL
Violent Content Detection Windows screen-monitoring application from my graduation project; trained weights and reproducible evaluation are not published. Python, Keras, TensorFlow, Tkinter

Backend engineering

I also built CRM Platform, a private portfolio project with a local demonstration available on request. It includes:

  • FastAPI, async SQLAlchemy, PostgreSQL, and Alembic migrations.
  • Authentication, refresh-token rotation, and permission-based access.
  • Multi-tenant data access backed by PostgreSQL Row-Level Security.
  • Transactional outbox writes, Celery CSV jobs, and a Next.js interface in Arabic and English.
  • Backend and frontend automated tests, plus Docker packaging.

It is a development portfolio application; production hardening and later roadmap features remain separate work.

Tools used across these projects

  • Application development: Python, FastAPI, Streamlit, TypeScript, React, Next.js.
  • AI and retrieval: Gemini API, Ollama, embeddings, Qdrant, RAG workflows.
  • Automation: n8n, webhooks, HTTP APIs, Celery.
  • Data and quality: PostgreSQL, Redis, SQLAlchemy, pytest, Ruff, mypy, Vitest, Docker.
  • Computer vision: TensorFlow, Keras, Pillow, NumPy.

Current focus

Making projects easier to reproduce and evaluate: clearer setup instructions, automated testing, retrieval evaluation, and explicit limitations.

LinkedIn · Website · Email

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  1. banking-engineering-intelligence-copilot-n8n banking-engineering-intelligence-copilot-n8n Public

    n8n RAG prototype for banking engineering documents, with Ollama embeddings, Qdrant retrieval, sample inputs and workflow exports.

    1

  2. ai-document-summarizer ai-document-summarizer Public

    Bilingual text summarization app built with Python, Streamlit and the Gemini API; supports adjustable length and text download.

    Python 1

  3. comfyui-n8n-image-automation comfyui-n8n-image-automation Public

    Local image-generation automation connecting n8n webhooks to ComfyUI and SDXL; includes importable workflows and example payloads.

    1

  4. violence-detection-cnn violence-detection-cnn Public

    Windows screen-monitoring graduation prototype using Keras image classification; trained weights and reproducible evaluation are not included.

    Python 1