Professional Overview
Here's a biography for you, Ahmad:Ahmad Abdelaal is a computer science researcher and AI engineer based in Egypt. He holds a Bachelor of Science in Computer Science with a specialization in Artificial Intelligence from Nile University (2020–2024) and is pursuing a Master of Science in Computer Science at the American University in Cairo (2026–2028).Ahmad currently works as a Research Assistant at the American University in Cairo, where he is developing machine learning systems to optimize electrical stimulation of peripheral nerves for restoring sensory feedback in prosthetics. Previously, he worked as a Junior Data Scientist at Etax, where he built production-grade OCR APIs and hybrid multi-agent systems for domain-specific question answering. He also interned at the Central Bank of Egypt, where he constructed a knowledge graph of over 10,000 competition law cases and presented his research at Neo4j Nodes 2025.His earlier work includes leading cross-language plagiarism detection research at Nile University's C.I.S Research Center, achieving state-of-the-art results with Siamese Neural Networks, and building real-time multilingual data processing pipelines as an AI Engineer Intern at Mirando Solutions.Ahmad's technical expertise spans Python, PyTorch, LangChain, Docker, Kubernetes, and Google Cloud, among other tools. He is a three-time recipient of Nile University's Junior Publication Award and Dean's Honor List recognition, a first-place winner at the NU Quantum-AI Hackathon, and a Valeo-supported graduation project alumnus.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
computer vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
