
I am a dedicated systems engineer operating at the intersection of Machine Learning, Advanced Automation, and Distributed AI. My passion is the development of robust and scalable Multi-Agent Systems (MAS) that mimic and surpass human decision-making for complex enterprise challenges. With comprehensive training in AI and hands-on experience in Python, CNNs, RNNs, and LLMs, I am responsible for building backend API integrations and maintaining core agent logic. I also bring growing expertise as a full-stack developer, enabling me to build end-to-end intelligent web ecosystems.
Junior AI Systems Engineer
Jan 2026 - Present
Agentic Systems Engineer (ML Focus)
Dec 2025 - Jan 2026
Internship Trainee
Dec 2025 | Amman, Jordan
Pioneers Academy - Amman, Jordan
Information and Communication Technologies: Software and applications development and analysis. EQF level 5.
Proficient in designing and training complex models (CNNs, RNNs) using PyTorch and TensorFlow. Deep understanding of modern deep learning workflows.
Expert in real-time object detection (YOLOv8/v10), image segmentation, and automated visual inspection systems.
Experience with Large Language Models (LLMs), RAG, huggingface transformers, and building intelligent conversational agents.
Advanced statistical analysis, data collection, processing, visualization, predictive modeling, and data engineering pipelines.
A Natural Language Processing project that analyzes tweets and classifies them into Positive, Negative, Neutral, and Irrelevant. Achieved ~87% accuracy. Deployed with Streamlit.
Developed a real-time automation bot using YOLOv8, leveraging custom-trained weights and HSV-based color space optimization for high-speed object detection.
Engineered a persistent AI memory engine for conversational agents, implementing sophisticated session management and context preservation in high-traffic environments.
Architected a multi-module administrative platform with specialized vendor management and automated reporting systems.