Pedram Agand

Pedram Agand is an accomplished professional in machine learning and data science, with a substantial background in both research and applied science across multiple organizations. Pedram has held various positions, including Machine Learning Engineer at Vancouver Coastal Health, where efforts focused on optimizing data extraction processes, and an Applied Scientist role at Amazon, dedicated to enhancing customer experiences through generative AI solutions. Other notable experiences include contributions at Borealis AI as a Machine Learning Researcher, and extensive research roles at Simon Fraser University and the National Research Council Canada, addressing predictive modeling and fuel efficiency optimization. Pedram holds a PhD in Computer Science and multiple degrees in Electrical Engineering and Computer Science, demonstrating a strong academic foundation complemented by practical applications in smart technology and machine learning algorithms.