Summary
Mohanad Arafe is a software engineer with 8 years of experience blending data engineering, ML research, and full-stack development, currently delivering live FIFA metrics to billions of fans. He has a strong track record optimizing production pipelines and cloud deployments—boosting connector performance by 212% and architecting fault-tolerant AWS services—while shipping live features under high-pressure event deadlines. With an MS from Concordia focused on ML for Parkinson’s progression, he bridges research and production: building predictive models (AUC 0.795) and practical tooling like a Selenium-based medical data scraper. Comfortable across Java, Python, React, and cloud CI/CD, he prioritizes user-friendly software that makes complex data accessible and actionable.
8 years of coding experience
4 years of employment as a software developer
Master's Degree, Applied Science in Software Engineering, Master's Degree, Applied Science in Software Engineering at Concordia University
english, french, arabic