Summary
Jacob Laframboise is a Software Development Engineer II at Amazon with eight years of experience applying machine learning and software engineering to real-world problems. He combines a formal AI-focused computing education from Queen’s University with hands-on experience in medical imaging, surgical video classification, and automating large data ingress pipelines to deliver measurable business value. Jacob’s background spans research roles at The Perk Lab, data science stints at Shopify and Validere, and engineering across IBM, Kinaxis, and Amazon, reflecting versatility across ML, data, and production systems. He’s driven by iterative problem solving—chasing the first successful run—and has translated that curiosity into automation that dramatically improved consultant efficiency for a major account. As Director of Research at QMIND he also mentors teams building ML solutions on robotics hardware, signaling an interest in applied AI beyond purely software domains. Less obvious is that his early work extended open-source tools like 3D Slicer, showing he’s comfortable contributing to established scientific toolchains as well as shipping production services.
8 years of coding experience
4 years of employment as a software developer
Ontario Secondary School Diploma, Ontario Secondary School Diploma at Holy Cross Catholic Secondary School
BCmpH Computing with Focus in Artificial Intelligence Minor in Mathematics, BCmpH Computing with Focus in Artificial Intelligence Minor in Mathematics at Queen's University