Milad Sabouri

Milad Sabouri is currently a Research Assistant at DePaul University's Web Intelligence Lab, where novel architectures for recommender systems utilizing Large Language Models (LLMs) are developed to model temporal user preference dynamics and enhance transparency through explainable AI solutions. Experience includes a role as a Machine Learning Modeler at Cash App, where a reinforcement learning-based referral model was implemented using PyTorch, and deep learning techniques were leveraged to analyze sequential patterns in customer behavior, resulting in improved predictive capabilities. Previous work as a Machine Learning Researcher at Illinois Institute of Technology focused on constructing a multi-stakeholder recommender system, achieving significant improvements in ranking quality, alongside experience as a Software Engineer developing back-end services for banking systems. Milad is pursuing a Doctor of Philosophy in Computer Science at DePaul University following a Master's degree in Information Technology & Management from Illinois Institute of Technology.