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Umut SahinUS
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Umut Sahin

@umutsahin

I build AI systems for medical imaging, retrieval-augmented generation, deepfake detection, and data-driven prediction.

Turkey
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What I'm looking for

I'm looking to build practical AI products in generative AI, medical AI, computer vision, NLP, or sports analytics, while growing through hands-on engineering work and open-source development.

I'm building AI systems across medical imaging, generative AI, computer vision, and sports analytics. My projects include a ResNet-18 model for TP53 mutation prediction from histopathological images, a deepfake detection pipeline using Xception and Grad-CAM, and match outcome prediction models trained on 700+ rugby matches.

At TURK AI and the Digital Transformation Office of the Presidency of Türkiye, I've worked on deep learning, asynchronous data pipelines, web scraping, and containerized microservices using Python, Flask, RabbitMQ, Docker, and PostgreSQL. I'm also developing a RAG graduation project that uses ChromaDB and SentenceTransformers to improve retrieval quality and reduce LLM hallucinations.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Hacettepe University logoHU

Hacettepe University

Bachelor of Science, Artificial Intelligence Engineering

Grade: 2.75 / 4.00

Pursuing a Bachelor of Science in Artificial Intelligence Engineering with a GPA of 2.75/4.00, expected to graduate in June 2026.

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