• Implemented state-of-the-art recommendation models for a TUBITAK funded project on Deep Learning, enhancing performance on real-world datasets.• Developed a novel recommendation model combining strengths of different models, under mentorship from Prof. Ismail Sengor Altingovde, Prof. Ismail Hakki Toroslu and Prof. Pınar Karagoz.• Collaborated on Natural Language Processing tasks using newly introduced LLM models, contributing to cutting-edge research at Middle East Technical University.

• Developed Docker image update mechanism for internal use, enhancing efficiency.• Utilized CI/CD pipelines to streamline development processes.• Collaborated on virtualization concepts and containerization technologies with a focus on Docker and Kubernetes.

• Developed and deployed a computer vision model for real-time object tracking, optimizing for high frame rate.• Experimented with various models and hyperparameters to achieve optimal results on a microcontroller.• Implemented state-of-the-art object tracking models and optimized them for real-time performance.

• Gained insights into the end-to-end project development process, from ideation to deployment, by actively observing and participating in various project phases.• Acquired practical experience in machine learning, conducting research, and implementing machine learning models as part of project requirements.• Gained a comprehensive understanding of the project's backend architecture and web components, contributing to a holistic perspective of software development within a real-world context.• Assisted with testing of client-server network components.