Pierre-luc Delisle is an AI Developer II based in Montreal with nine years of experience building and productionizing machine learning systems and data pipelines. At Intact he moved teams from a project mindset to product-focused engineering, improving data engineering development velocity by 300% while implementing data-quality checks, cost-optimized infrastructure, and reliable transformation pipelines. He has delivered measurable business impact—most notably a model that increased buying ratio by over 2%—and combines hands-on model deployment with pragmatic software foundations to bridge data science and data engineering. His background spans applied research in medical image segmentation, conversational NLP prototypes, and teaching machine learning, giving him both academic depth and product-oriented pragmatism. Known for documenting best practices and creating reproducible pipelines, he excels at turning complex ML workflows into auditable, production-ready systems.
9 years of coding experience
5 years of employment as a software developer
Maîtrise en sciences appliquées (M.Sc.A) Génie des technologies de l'information, Maîtrise en sciences appliquées (M.Sc.A) Génie des technologies de l'information at École de technologie supérieure
DEC Natural Sciences, DEC Natural Sciences at Cégep régional de Lanaudière à Terrebonne
High School Degree Sciences and linguistic program, High School Degree Sciences and linguistic program at École Secondaire Armand-Corbeil
DEC Electronics specialized in computers and networking, DEC Electronics specialized in computers and networking at Collège Montmorency
Deep Learning framework for fast and clean research with Pytorch
Contributions:221 commits, 41 PRs, 144 pushes in 8 months
pytorchdeep-learningtorchcleancaffe
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