Istanbul, Türkiye
I am currently pursuing my undergraduate degree in Computer Engineering at Istanbul Health and Technology University. My academic work focuses on population and social research within the scope of the Marmara University YOK Data Analysis School. I am focused on supporting my technical competence with project and field experience. I completed a Project Management Certification through Coursera; I gained practical experience in the SAP ecosystem by working as an SAP ABAP Intern at Detaysoft. I also developed my technical and analytical perspective in the field of artificial intelligence as a graduate scholarship recipient of the Artificial Intelligence and Technology Academy. I am currently working on a TUBITAK project and pursuing an ongoing academic study. I aim to translate my analytical thinking skills, disciplined work approach, and teamwork skills into tangible value in technology projects. I am an aspiring engineer who is open to learning, inquisitive, and unafraid to take responsibility.
Completed a hands-on SAP ABAP internship within the ABAP Development Department, working on custom report development, data modeling, and interactive ALV applications. Designed and developed classical and ALV-based reports using REUSE_ALV_GRID_DISPLAY, dynamic field catalogs, and modular FORM structures. Implemented advanced selection screens with SELECT-OPTIONS, radio button groups, and custom function keys. Built custom SAP tables with proper domain, data element, foreign key relationships, and maintenance views (SM30). Developed multi-table JOIN queries (MARA, MKPF, MSEG and custom Z tables) and implemented summary-breakdown logic using COLLECT. Integrated interactive features including: - Double-click event handling (&IC1) - USER_COMMAND logic - Dynamic navigation to maintenance views (VIEW_MAINTENANCE_CALL) - Transaction call to MB03 - Runtime error debugging and optimization Gained strong understanding of SAP program flow blocks (INITIALIZATION, START-OF-SELECTION, AT SELECTION-SCREEN, etc.) and enterprise-level data architecture.
Selected among 2,000 participants out of approximately 25,000 applicants for an intensive AI-focused training program. Developed AI-powered web applications using FastAPI and SQLite, integrating backend APIs with machine learning workflows. Worked on projects covering: Machine Learning fundamentals (regression, supervised learning) Deep Learning concepts and model architecture basics Data preprocessing and feature engineering NumPy, Pandas for data manipulation Model evaluation and performance analysis Built RESTful backend services with FastAPI to deploy ML-based functionalities into web applications. Received hands-on training on Google Cloud Platform (GCP), gaining exposure to cloud-based development environments and scalable AI infrastructure concepts. Collaborated in multidisciplinary teams to design and implement AI-driven solutions with practical and social impact orientation.
Developed multiple full-stack web applications using ASP.NET MVC, SQL Server, and Entity Framework, following clean architecture and MVC design principles. Key Projects: Personal Portfolio Website Designed and developed a dynamic portfolio platform with an admin panel for content management. Implemented database-driven updates, form handling, and structured backend logic. Hospital Management System Built a role-based web application enabling patient registration, appointment scheduling, doctor management, and medical record tracking. Designed relational database schemas and implemented CRUD operations with structured controller-service interaction. Travel Management System Developed a travel listing and booking-style application with dynamic content rendering, category-based filtering, and database-integrated data management. Focused on scalable database design and modular backend development. Implemented authentication and authorization mechanisms, server-side validation, routing management, and structured data flow between models, views, and controllers. Maintained version control and documented development process through GitHub repositories.