Mohamed Hazem

I’m an AI Engineering graduate and builder of end-to-end Machine Learning and AI systems, with over two years of hands-on, project-based experience. I completed a rigorous 4-year accelerated engineering program, graduating with a 3.15/4.0 GPA.

I delivered 4 officially accredited Graduation Projects, including Signa, an AI-powered sign language platform empowering deaf creators. I designed and built real-time recognition capabilities, including a 17-class word-gesture classifier and an A–Z alphabet speller, along with an end-to-end pipeline that stabilizes predictions under real-world camera and lighting conditions.

I’ve built 8+ AI pipelines spanning real-time sign language recognition, multi-threat surveillance, embedded AI, and predictive analytics. My work consistently combines strong model design with practical deployment thinking—using tools and frameworks like PyTorch and OpenCV, plus optimized inference pipelines.

I’m eager to drive innovation as an AI/ML Engineer, bringing disciplined engineering, end-to-end ownership, and a focus on reliable, deployable intelligence. I particularly enjoy turning complex ML/CV components into working products that users can interact with directly.