About

I am a patient person with leadership qualities and a willingness to take risks. My interests are in Robotics and Autonomous Systems. I have worked as an Intern Researcher at TÜBİTAK and Saha Robotik, and I currently work at LTC Inovation and Sensor AI LAB at TU Delft, focusing on navigation, localization, and autonomy for quadruped and humanoid robots.

I hold a BSc in Computer Engineering from Sakarya University (2022–2026, GPA 3.22/4.0). I have been selected for the 2247-C STAR Intern Researcher Scholarship Program, organized by TÜBİTAK BİDEB, which supports undergraduate and graduate students taking part in scientific research projects. I was also selected as the first-ranked student in my faculty for a grant-funded Erasmus+ internship at Delft University of Technology (TU Delft). You can contact me through the Contact page.

As a Long-Term Intern Researcher at TÜBİTAK, I conducted research under the supervision of Prof. Dr. Ayşegül Uçar as part of a project on advanced autonomous technologies for disaster management in GPS-denied, unstructured environments using multi-sensor dispersed robots.

At Saha Robotik, I developed mobile robots and AMRs (Autonomous Mobile Robots) with ROS2 in real-world settings, working with Point-LIO and LIO-SAM using the Unitree L1 LiDAR and processing data through ros2bag files.

At LTC Inovation I focus on navigation and autonomy system development for Unitree Go2 quadruped and G1 humanoid robots, implementing and evaluating state-of-the-art mapping and localization algorithms in real-time environments. I implemented Visual SLAM using only a D455 depth camera to achieve robust odometry and mapping on the Unitree Go2, and I run extensive real-time field tests to verify sensor fusion accuracy and algorithm robustness on legged robots.

At Sensor AI LAB at TU Delft, I develop quadruped navigation and localization solutions for indoor and outdoor environments. My work includes EKF-based fusion of LiDAR, IMU, and RTK-GNSS data and simulation-based validation with ROS2 and GazeboSim.

Technical Skills

Robotics Core

ROS2, SLAM, 3D Mapping, Navigation, Simulation, Legged Robotics

Artificial Intelligence

Classical Techniques, CNNs, ANNs, Deep Learning

Programming

C++, C, Python, MATLAB, SQL

Software Tools

Docker, Gazebo Sim, Git, Micro-ROS, PCL