As a researcher at TUBITAK, I develop and model a nonlinear Permanent Magnet Synchronous Motor (PMSM) and a periodic learning nonlinear control method for control signals speed and current control.

As a software engineer in an electric autonomous vehicle team, I contributed to control, sensor fusion, localization,software development using ROS, C++. I developed and optimized PID and Ramp controllers, fine-tuning them for performance, and worked with LIDAR, Camera, IMU, and GPS sensors, focusing on calibration and sensor fusion. Additionally, I performed software testing in both simulated and real environments, gaining proficiency in complex coordinate transformations and ROS middleware in a Linux environment.

During my internship at TAI, I worked on system dynamics and control for the Gökbey rotary-wing aircraft, modeling and designing its electro-hydraulic servo actuator systems in a simulation environment.

During my internship at Autonoma Inc, I worked on the Drone Dynamics and Control Software team. My primary responsibility was to model and control a quadcopter using Unity and C# code. This involved creating a realistic quadcopter simulation, refining control algorithms, and ensuring the software seamlessly integrated with the real time.This experience significantly enhanced my software development skills and my understanding of drone dynamics and control systems.

During my internship, I focused on controlling multiple robot manipulators using servo motors and USB joysticks. I implemented a real-time ROS interface, utilizing C++, ROS, and Python. Employing a ramp function for control, I achieved precise positioning for the manipulators and developed configuration software for movement limits. At the end of my internship, I also implemented codes to an excavator.