Ufuk Kurt

Specialized in cloud engineering with AWS CDK and Terraform, demonstrating high proficiency in serverless backend development using TypeScript and Python. Delivered scalable, cost-optimized solutions with AWS services. Led the development of a FastAPI-based backend solution used by hundreds of employees and contributed to AI projects, including a regression project focused on predictive analytics and a RL project to optimize decision-making models, integrating machine learning with cloud systems.

• Developed AI features using TensorFlow and Keras for Smart Home solutions. • Deployed backends with AWS (EC2, S3) and contributed to iOS development.

Research, analyze and evaluate system requirement and program needs of mobile applications. Develop iOS applications. Taking part at SCRUM methodology as a team member.

Research and analyze system requirement and program needs. Develop Rest Api project for LogServer.

Research, analyze and evaluate system and customer requirements and program needs of SAP applications. Develop SAP application.

• Federated Learning for Breast Cancer Classification This project was developed as the graduation project for my MSc. Computer Science degree at TUM, under the supervision of Dr. Anees Kazi, Prof. Dr. Nassir Navab, and Prof. Dr. Peter Schüffler. As a machine learning developer, I utilized Python and PyTorch to implement ResNet, DenseNet, and LeNet models, working with diverse datasets such as ICIAR 2018 - BACH, BreakHis, and MedMNIST - PathMNIST.