Summary
Ahmed El-hussein is an AI & Automation Engineer with nine years of experience building cloud-native, AI-driven solutions that bridge NLP, speech-to-text, and large language model workflows on Microsoft Azure. He has hands-on expertise deploying scalable Python applications, automating data pipelines with Azure Functions and Logic Apps, and integrating OpenAI/GPT models for quality assurance and metadata-driven service verification. Ahmed’s background spans edge ML and robotics (YOLOv8 on Raspberry Pi with LIDAR and ROS for ADAS) to enterprise automation for telecom and banking, demonstrating an unusual mix of real-time embedded systems and cloud-scale text analytics. A high-achieving computer engineering graduate (3.87/4) based in Cairo, he combines rigorous academic training with practical deployments, including anonymization and summarization pipelines for large datasets. Known for turning complex model workflows into operational systems, he often focuses on secure, monitored architectures that prioritize data privacy and maintainability.
9 years of coding experience
Bachelor of Science - BS, Computer Engineering, 3.87 out of 4 (Excellent with Honors), Bachelor of Science - BS, Computer Engineering, 3.87 out of 4 (Excellent with Honors) at Arab Academy for Science, Technology and Maritime Transport
Arabic, English