Alexandre Brown is an AI researcher and engineer with nine years of experience building production ML systems and robotics research, currently pursuing a PhD at MILA and working on visual generalization in deep reinforcement learning for robotic manipulation. He has a strong track record shipping end-to-end projects—from prototyping SOTA object detection for agricultural drones and deploying AI platforms on AWS/Kubernetes to building wildfire forecasting models with explainability using SHAP. Comfortable across the stack, Alexandre has shipped embedded Android drone controls, microservices, and scalable ML pipelines, and has improved point-cloud sampling efficiency by 100x in applied settings. He blends hands-on engineering with teaching experience (tutoring 150+ students) and a knack for translating messy, real-world data into robust models. Based in Montreal, he uniquely combines field-deployed robotics expertise with academic research rigor, positioning him to bridge lab advances and practical autonomous systems.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Applied Science - BASc, Computer Programming, Bachelor of Applied Science - BASc, Computer Programming at Université Laval
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Université de Montréal
Technical D.E.C, Computer Programming, Technical D.E.C, Computer Programming at CEGEP de Saint-Jérôme
Contributions:18 commits, 1 PR, 18 pushes in 1 year 8 months
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