Fares Hatahet
Fares Hatahet

AI Engineer

Actively looking · Member since 17 Oct 2026
Location
Amman, Jordan
Desired salary
Unspecified
Work preference
On-site
Experience level
Junior

About

Professional summary

I am an AI Engineer and Artificial Intelligence graduate with a 3.77/4.0 GPA from the University of Jordan. I build practical AI solutions across machine learning, deep learning, computer vision, natural language processing, generative AI, agentic AI, and intelligent automation.

I have hands-on experience designing and shipping AI projects, from classical machine-learning baselines to production-oriented LLM agents, retrieval-augmented generation systems, and computer-vision pipelines. My work includes Python-based development, model evaluation, data preparation, experimentation, and technical communication.

I have worked as an AI Engineer, AI Automation Intern, AI Low-Code Automation Intern, and Research Assistant. In these roles, I developed agentic assistants, evaluated LLM providers, created UiPath workflow-generation tools, built Microsoft Copilot Studio agents, and implemented diffusion models in PyTorch.

My technical interests include LLM applications, tool calling, RAG, vector search, prompt engineering, structured outputs, model evaluation, object detection, tracking, and explainable AI. I also enjoy translating AI capabilities and limitations into clear recommendations for developers, managers, and non-technical stakeholders.

I am bilingual in Arabic and English, with native Arabic proficiency and professional English proficiency supported by an Academic IELTS score of 7.0. I am interested in opportunities where I can contribute to applied AI products, intelligent automation, and AI engineering initiatives.

Skills

22 capabilities

Tech stack & tools

Working toolkit

Experience

Career history

AI Engineer Digital Gates

Architected a Python-based agentic AI assistant for an existing .NET business-management platform. Used LangGraph to implement tool-calling workflows and agent-controlled retrieval-augmented generation.

Built an automated evaluation harness to compare LLM providers on tool-selection accuracy, failures, and latency. Presented findings to support technical decisions and communicated AI capabilities, limitations, and design choices to developers and management as the company's sole AI engineer.

AI Automation Intern Orange

Built a multi-agent tool that converts plain-English automation requests into UiPath C# coded workflows.

Orchestrated the solution using a reflection-based agentic framework, contributing to AI-driven automation workflow generation.

AI Low-Code Automation Intern AugentisAI

Built LLM-based agents and workflows using Microsoft Copilot Studio.

Completed this work through the Microsoft Agent Academy, gaining practical experience in low-code AI automation and agent development.

Research Assistant The University of Jordan

Implemented DDPM and DDIM diffusion models in PyTorch for research experimentation.

Explored training stability and sampling strategies for diffusion-based generative modeling.

Education

Learning history

The University of Jordan

Bachelor of Science, Artificial Intelligence

Graduated with a Bachelor of Science in Artificial Intelligence. Achieved a CGPA of 3.77 out of 4.0.

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