Ankara, Türkiye
I work in the field of Computer Vision and Artificial Intelligence, focusing on developing practical and reliable solutions across different industries. My current work involves research and development of image-based autonomous systems for object detection, recognition, and tracking, particularly within defense-related applications. I also have a growing interest in Large Language Models (LLMs) and have been exploring their capabilities through hands-on work with GPT-based models and system integrations.
Developed and maintained a Machine Learning Pipeline for product sales forecasting in warehouses, contributing to optimizing stocks in advance.
In the Research & Development Department, I contributed to improving quality control processes by applying computer vision technologies. My work included developing an image-based defect detection system to analyze nail images and support quality assurance efforts.
Contributed to the development of a time series forecasting pipeline for product sales, supporting advance stock planning efforts. Worked with time series data analysis, feature preparation, and model experimentation using Python and common data science libraries. The work included applying machine learning and exploratory deep learning approaches, basic data visualization, and building a simple user interface to make the forecasting workflow more accessible.
As part of a university autonomous vehicle project team, I contributed to the development of software and simulation components. My work included supporting computer vision and AI-based perception tasks, embedded system prototyping, and simulation-based testing. I also assisted in web and interface development to support project coordination and presentation.