Hi! I'm Emre, a senior Computer Science student at Bilkent University, working on Deep Learning, AI, and optimization.

• Robot Trajectory Planner: Implemented SAC and HER algorithms with PyTorch to achieve a 100% success rate in finding trajectories for a robotic arm to reach target objects in a sparse reward environment.

• UM Game Playing Strength of MCTS Variants: Designed a predictive model using Gradient Boosting and Random Forest, reducing dimensionality from 813 to 26 features and achieving an RMSE of 0.42.

• Chess AI: A project focused on developing a chess engine by integrating various machine learning, AI, and optimization algorithms to enhance strategic gameplay. Still working on.

• Fantasy Premier League Recommender System: Utilized a Random Forest Regressor for player points prediction and a SCIP solver for team selection optimization, significantly surpassing average FPL manager points.

• KMeans Clustering Algorithm Project: Developed in Scala, this project showcases a KMeans clustering algorithm with a focus on performance optimization and algorithm efficiency through parallel execution.

• BilConnect Second-Hand Sale Website: Contributed to backend development using C# and ASP.NET, focusing on robust system design, data management with Azure SQL, and user authentication mechanisms.

• 15 Numbers Puzzle: A Java-based project implementing a 15-number sliding puzzle that includes an automated solver to assist in arranging the tiles in sequential order.

• Pathfinding and Sorting Algorithms Visualized: A Python application using Pygame to visually demonstrate pathfinding and sorting algorithms, enhancing the learning experience.

• Viral-Epidemic-Simulator: A Java desktop application using LibGDX to simulate pandemic scenarios and measure the effectiveness of interventions like curfews and masks, incorporating Dijkstra’s algorithm for movement simulation.