Recent Information Engineering graduate from Al-Nahrain University with exceptional problem-solving abilities and an entrepreneurial mindset. I achieved the highest ranking on the Kattis platform at my university, demonstrating superior algorithmic problem-solving capabilities.
I have a proven track record in hackathons, AI/ML development, and full-stack solutions with strong leadership experience. Currently working on advanced computer vision and LLM deployment systems at Al Habbar Company, where I develop and deploy YOLO object detection models, implement LLaMA language models, and manage end-to-end ML pipelines.
As the founder of EDURU Tech Club, I lead student events and training sessions on web development and AI, building a community of aspiring tech professionals. My passion lies in bridging the gap between cutting-edge AI research and practical applications that solve real-world problems.
Read More About MeAl-Nahrain University, Baghdad, Iraq
2020 — 2025A comprehensive toolkit for building intelligent systems and full-stack applications
Al Habbar Company
EDURU Tech Club
Independent
Rwafed Organization
A collection of AI, ML, and full-stack projects showcasing innovation and technical excellence
Achieved 99.93% accuracy using CNN for medical image classification on 20,000+ X-ray dataset. Month-long AI hackathon by Computiq and GIZ.
Won "Sustainable IoT" hackathon among 9 teams, CORTISSS program (Al-Nahrain x Offenburg University). Awarded DAAD Grant for study in Germany.
Machine learning model achieving 98.97% accuracy with Random Forest ensemble; handled imbalanced data using SMOTE.
Production-ready web app for embedding memories in image metadata with JWT auth, encryption, PWA, and offline support.
Interactive landing page for teaching Iraqi people no-code development with focus on prompt engineering and building AI projects.
Touch-optimized cake customization platform and premium in-store customer interface.
Won "Sustainable IoT" hackathon among 9 teams, CORTISSS program (Al-Nahrain x Offenburg University). Evaluated by international jury including Prof. Dr. Axel Sikora. Awarded DAAD Grant for study program in Germany.
Deep learning CNN model for X-ray tumor diagnosis achieving near-perfect accuracy. Month-long AI hackathon by Computiq and GIZ with 20,000+ image dataset.
Achieved highest ranking at Al-Nahrain University, demonstrating superior algorithmic problem-solving skills and competitive programming excellence.
Awarded DAAD Grant for STM32F429I IoT Development program at Offenburg University, Germany. International recognition of technical excellence.
Have a project in mind? Let's discuss how AI and innovative solutions can transform your ideas into reality.
eyad@eyadai.dev +964 773 628 5961