I am a Ph.D. candidate in Industrial Engineering with a focus on stochastic optimization, operations research, and data-driven decision-making. My GitHub showcases a collection of research projects, algorithms, and applications in supply chain logistics, time series modeling, and optimization under uncertainty. I enjoy transforming complex real-world problems into mathematical models and solving them using Python, Gurobi, and machine learning techniques. Feel free to explore my repositories and connect if you'd like to collaborate or discuss ideas!

Currently, I'm learning machine learning models such as Transformer architectures to enhance time-series forecasting within optimization frameworks. Outside of work, I enjoy watching football (soccer) matches, occasionally playing, socializing with friends, and traveling to new places.

• ✉️  You can contact me at [email protected]
• 📄 I have shared some of my research publications here