Mohamed Shahawy is an Innovative Development Manager and PhD candidate in Adaptive Artificial Intelligence with a decade of hands-on experience building research-driven software and data pipelines. He blends applied ML research—published and applied in environmental and healthcare studies—with practical engineering work across AR mobile apps, GIS tooling, and backend systems. His career spans academia and industry, from developing image segmentation and continuous data collection pipelines to leading development at Midlands Power Networks. Known for an eye for detail, he crafts custom tools (including a Python GIS library) that turn messy spatial and temporal data into actionable insights. Outside work he pairs technical curiosity with creative pursuits like vector graphic design and music theory, reflecting a habit of exploring diverse domains that often inspires cross-disciplinary solutions.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Distinction, Master of Science - MS, Artificial Intelligence, Distinction at Anglia Ruskin University
Doctor of Philosophy - PhD, Adaptive Artificial Intelligence, Doctor of Philosophy - PhD, Adaptive Artificial Intelligence at Staffordshire University
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The American University in Cairo
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