Industrial Engineer and researcher specializing in optimization, machine learning, and intelligent systems, with a focus on data-driven decision-making under uncertainty. Currently pursuing my Master's degree in Systems Modeling and Data Analytics at Amirkabir University of Technology (Tehran Polytechnic), where I maintain a 3.7 GPA and conduct research on real-time optimization of transportation networks using reinforcement learning. My academic foundation combines rigorous coursework in stochastic processes, machine learning, and optimization with hands-on research experience, including computer vision work on AI-generated image classification and teaching assistance in data mining and artificial intelligence courses.
My research interests center on stochastic optimization, robust optimization, and machine learning applications in intelligent systems. Beyond academia, I've applied technical expertise as a Front-End Engineer at Barsam Smart Market Development, contributing to cloud ERP systems and business intelligence dashboards for Iran's largest automotive manufacturers. Proficient in Python (NumPy, Pandas, TensorFlow, PyTorch, scikit-learn), statistical modeling, and business analytics, my project portfolio spans CNN-based waste classification, discrete-event simulation for hospital optimization, and multi-objective production planning. I'm passionate about advancing management science through rigorous quantitative methods and welcome opportunities to collaborate on research addressing complex operational challenges.