During my internship, I developed both the backend and frontend of a loan comparison and application web platform that combines simulated loan options from multiple banks to recommend the best loan solution and allows users to apply directly.

The backend is built on .NET 6 LTS using C#, Entity Framework Core, and Microsoft SQL Server in a layered (n-tier) architecture. Functionality is provided through a RESTful API. Integrated Redis is used for frequently used queries (e.g., passing bank names from the database to the frontend's bank options) to reduce database load and significantly improve performance.

The frontend is implemented with Angular v16 using HTML, CSS, and TypeScript to create responsive and user-friendly interfaces. The RESTful API was used to perform full CRUD operations.

Throughout the project, I applied object-oriented programming concepts and SOLID principles to ensure scalability and maintainability. This experience strengthened my end-to-end web development skills, from database design to API management, from modern front-end frameworks to caching strategies.

Throughout my work, I have extensively managed the company's official website (hometech.com.tr), as well as the website of Mipo, one of its brands (mipo.com.tr). This management includes the following:

I developed a customized AI-powered support chatbot using the Python programming language. I exposed its functionality via a Flask-based REST API and integrated it into the Mipo website with responsive HTML, CSS, and JavaScript.

I provide ongoing maintenance and data automation for the chatbot. I continuously update the bot's data to ensure real-time accuracy in its responses. To automate this, I use data obtained from the Mipo website through periodic web scraping, ensuring the bot provides consistently up-to-date answers to questions such as product prices.

In addition to the chatbot itself, I also provide support for the website. I implemented custom requests for websites developed with the OpenCart Framework. These include new product pages, a promotion page, and various interface improvements and enhancements. For these purposes, I use HTML, CSS, and JavaScript, as well as website administration panels.

I also conduct various studies in the field of artificial intelligence. These include network traffic threat detection models for cybersecurity and image-based disease detection models for agricultural applications. I used data processing and image processing techniques to prepare and optimize datasets in the AI models I developed. I ran these AI models in various environments, including the Pardus operating system and cloud environments.

Throughout these projects, I applied clean code principles and modular design to ensure maintainability and scalability, and I strengthened my expertise in full-stack development, AI integration, and research-driven innovation.