Ragıp Kaan Söylev
Software developer experienced in web technologies.
About
I am a senior computer engineering student and a software developer. As a creative and solution-oriented software developer, I am dedicated to solving problems with the most efficient solutions. I meticulously focus on code quality and performance optimization in the projects I implement or participate in. During my previous internship experiences, I have actively contributed to the team, developing my skills in teamwork and effective communication. I am actively working on web technologies and have successfully utilized React, JavaScript, and NodeJS during my internship experiences. I am always open to continuous learning and adapting to new technologies. I value collaboration and knowledge sharing within a team, and I can contribute using my technical knowledge and problem-solving skills as part of a dynamic and innovative team.
Work Experience
Izmır Bakircay University
Full Stack Developer (Intern)
Fokur Design StudioRemote
Full Stack Developer (Intern)
Menderes Textile
Full Stack Developer
Menderes Textile
Full Stack Developer (Intern)
Education
Izmir Bakircay University
Skills
Projects
Cuzdan App
We have developed an application that allows tracking of money spent on bulk purchases and events. During this development process, I wrote a back-end Rest-API using Nest.js. I prepared the necessary documentation for the front-end team using Swagger. During the deployment process, I used Google Cloud's Kuberenetes engine. I prepared CI/CD processes with github and google cloud.
Optical Eye
Defects such as holes and stains in fabrics need to be detected in the quality control departments of textile companies. Detection of these errors is normally left to human power. In the optical eye project initiatedby Menderes Tekstil R&D department, we enabled these errors to be detected categorically with object detection using Yolov5 and Python. We prepared a gui for administrators with Pyqt5. We generated synthetic data using faulty fabrics and developed our model. After preparing the model, we developed a mobile application for the employees in the quality control department to find out which point of the fabric the error occurred on which machine. We used React native in the development of the mobile application. We used nodejs and express js for the back-end. We used firebase cloud messaging for the notification system