About Şehmus Yakut.

I am an AI & Data Engineer with a strong foundation in Computer Engineering. I focus on developing automated data pipelines, machine learning architectures, and GenAI applications.

My engineering journey started at Yıldız Technical University, where I studied Computer Engineering. Fascinated by the intersection of data infrastructures and deep learning models, I worked on deep neural networks for facial stress detection, neuroimaging classifications for Alzheimer's diagnostics, and led a computer vision safety warning team funded by TÜBİTAK 2209-A.

Through positions at Doctor Follow, Turkcell, and Spor Sepeti, I have developed expertise in building automated ETL pipelines, optimizing medical knowledge graphs, writing network automation scripts, integrating APIs, and managing real-time mobile app backend logic. Whether deploying cross-platform applications with live streaming capabilities, or implementing edge object detection pipelines, I aim to bridge data scaling limits and machine learning execution layers.

I believe that building robust, reproducible data pipelines is the cornerstone of high-performance artificial intelligence systems.