Hello everyone, I'm Süheda Çilek. In this section, I wanted to tell you about the works that I am interested in. I graduated from KBU Computer Engineering (100% English) department in 2021 as an "Honour Student" with an average of 3.11. I am currently doing my master's degree in Computer Engineering at Karabuk University. I am actively interested in artificial intelligence. I made an oral presentation of my master's thesis titled "Analysis of Y-Balance Test Data Used in Sports Sciences by Machine Learning Methods" at the 9th international ICENS conference held in Bosnia and Herzegovina on 17-21 May 2023 and sent 1 paper. Our project titled "Analysis of Panoramic Dental Images with Deep Learning Methods," which we developed with my advisor during my undergraduate thesis, received support within the scope of the "TÜBİTAK 2209-A University Students Research Projects Support Program." I worked voluntarily as an "Artificial Intelligence Developer" for 1.5 years at SimurgAI, where I did deep learning analysis on panoramic tooth images. I made improvements with different deep learning algorithms, especially Mask RCNN. During my working life at SimurgAI, there are 2 papers published in the field of "Artificial Intelligence in Health" with my teammates. I worked as a "Machine Learning Engineer" at SmartAlpha. I did classification and segmentation studies on ultrasound images. Also here by adding a segmentation head to the YOLOv7-tiny detection model, I got a new model in YOLOv7 and got a small segmentation model. Throughout my business life, I have always tried to be a solution-oriented and active researcher in the field. I am a person who is compatible with teamwork and has strong communication with the team. You can always reach me through my social media addresses.