Summary
Ayman Shams is a software engineer and AI researcher with eight years of experience applying machine learning to medical and neuroscience problems, currently a Surgical Innovation Fellow at McGill University. He holds an MS in Computer Science and has built end-to-end systems—from neural architecture search prototypes for medical image anomaly detection to deployed web platforms for neuroscience studies collecting sequential patient data. His background spans applied research, NLP and speech projects, and hands-on ML production work including MLflow instrumentation and pipeline integration. Notably, he founded an Engineers Without Borders chapter that implemented solar home systems in rural Bangladesh, showing a practical bent for deploying technology in real-world, resource-constrained settings. Based in Montreal, he combines interdisciplinary collaboration with a strong research-to-deployment mindset.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Concordia University
Bachelor of Engineering - BE Mechanical Engineering/ Artificial Intelligence, Bachelor of Engineering - BE Mechanical Engineering/ Artificial Intelligence at Monash University
English, Bengali, Arabic