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Doğuş Can Korkmaz has work experience in various roles and companies.

From 2020 onwards, they worked as a Robotics System and Autonomous Driving Developer at Delivers AI. In this role, they were responsible for developing semi-autonomous last-mile grocery and food delivery robots, including tasks such as preparing simulation environments for autonomous navigation tests, designing data collection and annotation systems, and setting up data loader pipelines.

In 2021, they joined Baykar Technologies as an Artificial Intelligence Intern. Here, they focused on working on autonomous emergency landing algorithms for unmanned aerial vehicles (UAVs), implementing and testing several landing algorithms in simulation environments.

At ITU TVC ROCKET, they held two positions. From November 2021 to September 2022, they worked as an Avionics Software Developer. Additionally, they served as the Avionics Team Lead from May 2022 to September 2022.

From 2019 to 2021, they worked at ITU Rover Takımı (ITU Rover Team). Doğuş Can started as a Software Developer, focusing on outdoor autonomous control for a Mars rover and utilizing sensors such as GPS, IMU, LiDAR, and encoders. Doğuş Can also worked with simulation programs like Gazebo and Rviz to analyze the behavior of autonomous navigation code. Later, they became the Electroware Team Co-Lead, managing the autonomous navigation and computer vision teams.

Overall, Doğuş Can Korkmaz has a diverse background in robotics, artificial intelligence, software development, and team leadership.

Doğuş Can Korkmaz's education history begins in 2014 when they attended Tekirdağ Fen Lisesi. However, the degree obtained and field of study during this time are unknown. From 2018 to 2023, they studied at Istanbul Technical University, pursuing a Bachelor of Science degree in Electronics and Communications Engineering. This was followed by another Bachelor of Science degree at the same university from 2020 to 2024, but this time in Astronautical Engineering. Additionally, they have obtained several certifications in various subjects such as deep learning, control of mobile robots, convolutional neural networks, and machine learning from institutions like NVIDIA and Coursera.