Experienced with a variety of AI and deep learning frameworks, including TensorFlow, PyTorch, and Keras, as well as the computer vision library OpenCV, Ahmet has applied these technologies to projects involving image recognition, object detection, image segmentation, and large language models (LLMs), such as synthetic question generation and model evaluation tasks. Additionally, their technical expertise includes building scalable applications using FastAPI and Streamlit, managing databases with MySQL and MongoDB.

Linkedin: https://www.linkedin.com/in/ahmet-telceken/

Github: https://github.com/ahmet-telceken

Areas Of Interest

Deep Learning, Machine Learning, Large Language Models, Computer Vision

Education

Master’s Degree (2024 – Continues)

Eskisehir Osmangazi University, Graduate School of Natural and Applied Science, Computer Engineering, Turkey

Bachelor’s Degree (2017 – 2023)

Eskisehir Osmangazi University, Faculty of Engineering and Architecture, Department of Computer Engineering, Turkey