I am a skilled engineer in robotics, artificial intelligence, and machine learning with a Master’s in Mechatronics, graduating as the top-ranked student in my class. My master’s thesis focused on human tracking using advanced technologies such as YOLO NAS, ROS, Deep SORT, and a statistical ReID algorithm. I am proficient in programming with Python and C++ and have additional skills in JavaScript and BASIC. My extensive experience with ROS1, ROS2, OpenCV, PyTorch, TensorFlow, RViz, and Gazebo enabled me to work effectively with TurtleBot3, demonstrating my ability to integrate theoretical knowledge with practical applications. In my bachelor’s thesis, I explored controlling IoT devices through HMI using Arduino and Z-wave modules, highlighting my capability to blend hardware and software systems to create foundational human-machine interactions.
At the early stage of my career, I worked at GEIT Co. as part of the R&D team, where we developed
various robots like firefighter and line follower robots. This experience has provided me with a comprehensive understanding of designing, constructing, and programming complex robotic systems, further enhancing my expertise in the field of automation and control. As a backend developer, I have strong experience with Django, Docker, and Nginx, developing robust and scalable applications.
Ac-Score is a Number Between 150-850 Representing Your Entire Academic Activities. This Number Not Only Gives You a Vision of Your Strengths and Weaknesses in Your Academic Background but Also Helps You Compare Yourself with Other Competitors in This Domain.