// AI Engineer for Middle East Teams
AI engineer for Middle East teams and freelance AI automation.
For Middle East teams, I can support custom AI agents, RAG/document workflows, business automation and software implementation remotely, with Arabic native fluency and English C2.
Open to remote freelance and project work with teams in Jordan, the UAE, Saudi Arabia, Qatar and the wider Middle East.
Proof points
- Native Arabic speaker with English C2, useful for regional teams and bilingual stakeholder communication.
- Open to freelance/custom AI solution work for business workflows, reporting and automation.
- Built local LLM routing and RAG/document workflows that map well to cost-conscious regional AI adoption.
- Combines AI workflow design with backend, software and DevOps delivery skills.
Relevant work
- May 2026 to present
EFQM/RADAR AI Report Analyzer
A local-first, multi-agent RAG pipeline for the first-pass desk assessment of EFQM-based organizational self-assessment reports. It retrieves assessment guidance, links findings to source evidence, flags gaps and conflicts, and produces structured draft feedback for human review. I lead the five-person team and enforce fail-closed scoring, typed agent contracts, reproducible run provenance, and CI evaluation gates.
Read case study - 2025 — 2026
LLM Routing System
An internal on-device LLM routing layer that classifies each prompt by task type and complexity before selecting a local model or cloud provider. My operational estimate was that roughly 65 percent of requests stayed local, reducing cloud AI spend by about 45 percent. These are self-reported estimates rather than figures from a controlled finance study.
Read case study - March 2024 to July 2025
Yoga Studio Management Platform
A booking, membership, payment, attendance, and operations platform deployed for one operating yoga studio. I owned most of the Flutter member and coach app plus its API integration, contributed to the React admin client, and coordinated with an ASP.NET Core and MySQL backend secured by Identity, JWT, and five-role access control.
Read case study - Oct 2024 — Mar 2025
EUNO: ML-Based Mood Tracker (Graduation Project)
ML-based mood tracker with a Random Forest model that reached about 87 percent accuracy after feature engineering and SMOTE class balancing. A FastAPI backend runs the preprocessing and prediction path, while Flutter, SQLite, and Firebase support the application. Built with Jaser Quteshat under Dr. Ahmad Barghash.
Read case study
Search fit
- AI engineer Middle East
- AI engineer GCC
- freelance AI engineer Middle East
- custom AI agents UAE