Matthew Provencher

Matthew Provencher is an applied scientist at Lotlinx, Inc. since October 2022, specializing in the development and optimization of high-scale predictive models across various domains, including natural language processing and time-series forecasting. Provencher has a strong background in machine learning and software development, with prior experience as a machine learning engineer at ARCO and roles in software development at Laivly and Wawanesa Insurance, where techniques like deep learning and natural language processing were employed. Provencher’s technical expertise includes building MLOps pipelines and creating an internal ML Python library, enhancing model performance, efficiency, and development reusability. Provencher holds a Bachelor of Science in Computer Science from the University of Manitoba.