Summary
Martin Merener is a Senior AI Engineer based in Old Toronto with 11 years of experience applying mathematics-driven approaches to data science, machine learning and generative AI. He has moved models from research to production across finance and retail—shaping predictive modeling, customer segmentation and recommender systems at firms like TD, Canadian Tire and Ingram Micro. His background includes a PhD and postdoctoral work in quantitative methods and fMRI analysis, giving him deep expertise in statistical modeling, optimization and feature engineering. Martin blends academic rigor with practical engineering skills in Python, Spark, SAS and SQL, and has taught graduate-level recommender systems and undergraduate mathematics. Colleagues know him for reducing complex computational bottlenecks and mentoring students and analysts, a sign of both technical depth and collaborative leadership.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at York University
Licenciatura Mathematics, Licenciatura Mathematics at University of Buenos Aires
Spanish, English