Haya Medhat

I’m an Artificial Intelligence engineer-in-training at the Arab Academy for Science and Technology, currently pursuing an M.Sc. in Artificial Intelligence. My work is grounded in machine learning, computer vision, and robotics research, and I aim to turn models into intelligent systems that solve real-world problems.

As a Graduate Teaching Assistant and Graduate Research Assistant, I teach AI, Computer Vision, and OOP to 70+ students while designing project-based coursework that bridges deep learning theory with practical system applications. In internships, I built an enterprise chatbot that combined speech recognition, PDF parsing, and LLM APIs to reduce engineer troubleshooting time by ~60%, and I also integrated a React frontend with an Apache Solr backend for a high-performance digital preservation platform.

I bring this same production mindset to my projects, including Pepper robot VR/AR teleoperation with end-to-end latency under 50ms and strong multilingual speech recognition performance. I’ve also developed a YOLO-based real-time traffic monitoring system with sub-70ms inference latency and an IoT plant health monitoring app using ESP32 and on-device TensorFlow Lite for low-latency disease detection—plus a Smart Resume Analyzer/Job Recommender with 91% entity extraction accuracy.