In my role at Üstat company, I developed RAG-based chatbot solutions that enable lawyers to communicate effectively with their clients by utilizing GenAI and LLM technologies in the legal sector.

Developed applications for Financial and Insurance sectors using .NET Core, TypeScript, and Node.js, PHP. Collaborated on DevOps operations, focusing on performance optimization, clean code practices, and adherence to team standards. Worked closely with cross-functional teams in an on-premises environment. Gained extensive experience working with a skilled and dynamic large team.

I recently served as a Backend Developer, utilizing Node.js and Python to develop an affiliate marketing tool. Our backend was serverless, and I also had the opportunity to create social media tools to support marketing efforts. We applied Scrum methodology in this experience and faced high traffic services. To accomplish this, I utilized Kubernetes and AWS.

I had the opportunity to contribute the development of a video creation tool from start to finish. We utilized Shopify API and applied a range of full stack web development techniques, including Micro Service architecture, Horizontal/Vertical scaling, Video/Image processing. As a member of a small tech team, I was able to focus on all aspects of full stack development and hone my skills in this field.

In my previous experience, I developed a Law-Tech application utilizing microservice architecture and primarily using Python as my programming language. I had the opportunity to work on a wide range of features such as building out the application's backend using microservices, developing and integrating APIs, and implementing security measures to ensure data privacy and compliance with industry regulations. Additionally, I also had the chance to work on the front-end development, creating a user-friendly interface for the end-users, and developing features such as document management, e-signature, and case management. Overall, this experience allowed me to gain a deep understanding of legal technology and the latest industry trends, as well as developing my skills in Python and microservices architecture.

In my previous experience, I had the opportunity to work as an intern where I was mentored in understanding database optimization for large systems, including techniques such as optimization and normalization. Under the guidance of my mentor, I was able to apply these skills by creating a student management system database for universities. I used MS SQL and basic web development skills to complete this project. This experience provided me with a solid foundation in database optimization and management, and the opportunity to apply my skills in a real-world setting.