Growing up in an environment where agriculture remained reliant on traditional, labor-intensive methods, I witnessed firsthand the struggles of farmers, including my own family, who lacked access to modern tools. This reality ignited my passion for technology and motivated me to pursue a career at the intersection of artificial intelligence, robotics, and precision agriculture.

I am a passionate and highly skilled Master’s student in Artificial Intelligence at Ondokuz Mayıs University, Turkey, supported by the prestigious Türkiye Scholarships. My expertise covers deep learning, computer vision, and robotics, with a strong emphasis on AI-driven autonomous navigation in agricultural robotics. I have hands-on experience with ROS, Gazebo, and sensor fusion, including monocular/stereo cameras, LiDAR, thermal imaging, and IMU sensors. My research explores Camera-Based and LiDAR-Based SLAM, Visual SLAM, and real-time crop and weed detection.

I have published research in esteemed journals, including the Brazilian Archives of Biology and Technology and Signal Processing: Image Communication, covering topics such as deep learning-based plant seedling classification, crop row detection, and thermal imaging-based emotion recognition. Additionally, I have presented my work at international conferences, highlighting AI applications in healthcare and precision agriculture.

Beyond my academic journey, I am an active Microsoft Learn Student Ambassador, recognized for my leadership in the tech community. I hold certifications from renowned institutions such as Harvard University, Microsoft, Oracle, and Huawei, demonstrating my technical expertise in AI and related fields. Through my YouTube channel, As De La Tech (5,000+ subscribers), I share educational content on AI, online certifications, and technology trends to inspire and educate others.

Fluent in English, French, and Turkish, I am eager to collaborate in interdisciplinary research teams to advance sustainable precision agriculture and AI-driven automation.