Mohammad Al-Najjar

• Developed and deployed an NLP-based Address Correction solution for the Delivery Management System,
automatically correcting user-input errors to ensure accurate geolocation in Google Maps.
• Designed and implemented a Machine Learning algorithm for AC installation prediction, recommending
optimal AC units for building rooms based on multiple features, including distance calculations and
environmental factors.
• Developed and trained a Retrieval-Augmented Generation (RAG) chatbot using Ollama Qwen 7B, integrated
with an SQL database to retrieve and generate context-aware responses.
• leading a Raspberry Pi & Computer Vision project: integrating cameras and sensors to detect personnel near
active machinery, triggering alarms, recording events, and notifying responsible personnel in real-time.
• Directed the end-to-end development and deployment of multiple enterprise solutions — including Facility
Management, Property Management, Garage Management, and CRM systems — ensuring successful
delivery from requirement analysis to rollout.
• Utilized JIRA and DevOps tools for effective project management.

I have interned with Orange Jordan, contributing to the OptiGuide project my role was:
• Develop Artificial Intelligence models to detect obstacles that face blind individuals.
• won first place in the national orange summer challenge competition.
• Won first place in the international orange summer challenge competition out of 11 competing countries.