Summary
Maxime Cardinal is a Software Development Engineer II with eight years of experience building distributed systems and production ML infrastructure, currently driving data preprocessing platforms at Amazon that power high-impact marketing models. He has a strong track record optimizing large-scale Spark pipelines (reducing daily processing time by ~85%) and designing extensible data quality and monitoring integrations that cut downtime dramatically. Comfortable navigating ambiguous technical, business, and regulatory constraints, he pairs pragmatic engineering with measurable business outcomes across data, ML, and backend services. A McGill software engineering graduate with front-end and visualization experience from internships and research roles, he blends full-stack fluency with a knack for turning operational pain points into automated solutions. Outside core engineering, he has led community-building at Amazon Vancouver, managing budgets and events to grow an inclusive chapter. An attention to both reliability and user-facing clarity makes him effective at shipping scalable, maintainable systems under real-world constraints.
8 years of coding experience
6 years of employment as a software developer
Certificate, Japanese Language and Literature, Certificate, Japanese Language and Literature at Dawson College
DEC, Sciences pures et appliquées, Cote R: 33.4, DEC, Sciences pures et appliquées, Cote R: 33.4 at Cégep régional de Lanaudière
Bachelor of Engineering - BE, Software Engineering, CGPA: 3.76/4.0, Bachelor of Engineering - BE, Software Engineering, CGPA: 3.76/4.0 at McGill University
English, French, Japanese