Tam Finans Halleder Admin Panel
As part of my final project, I developed a user-friendly admin panel using React to manage Tam Finans’s mobile app project called Halleder.
Enes Keles
Software engineer from Turkey. You are very welcome to check out this page. Have a look at my latest project and experience. You can also contact me if you like.
About
Although I have mainly worked in the web sector, I have also contributed to projects in other fields such as Deep Learning, Embedded Systems and Security. I am committed to learning new things and I really enjoy helping others learn. I have a strong interest in software architecture.
I care about readable code, simple interfaces, and steady improvement.I believe that a great deal can be achieved as long as people work as a team and fulfil their responsibilities.
Experience
As part of my final project, I developed a user-friendly admin panel using React to manage Tam Finans’s mobile app project called Halleder.
I was involved in developing a system for a hospital that could be used by both patients and staff. During this process, I contributed to indoor navigation using BLE, as well as web and mobile app development.
I completed my summer internship in the IT department at Halk Leasing. During that one-month period, I participated in projects focused primarily on network management and security, as well as database systems.
Projects
A local password manager built in Rust, with an encrypted vault for credentials and notes, password generation, and master-password management.
A two-VM Windows and Kali Linux lab for investigating a disguised executable. Uses Sysmon telemetry and Splunk searches to examine process activity, network connections, and incident evidence.
A multi-label retinal disease classifier using ConvNeXt-Tiny and transfer learning to identify 43 disease categories from fundus images.
A Python machine learning project that predicts sentiment from tweet text using natural language processing.
A C++17 ray tracer with multithreaded rendering and uniform-grid spatial acceleration, designed to render scenes containing thousands of spheres.
A full-stack chatbot application combining a React interface with a Java Spring Boot backend, Redis, Docker, and Llama 3.
Contact
The fastest way to reach me is by email. You can also find my GitHub and LinkedIn profiles.
I am open to job offers. Feel free to reach out!