
Umut Sahin
@umutsahin
I build AI systems for medical imaging, retrieval-augmented generation, deepfake detection, and data-driven prediction.
What I'm looking for
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
Software Development Intern
TURK AI
Jun 2026 - Aug 2026 (2 months)
Engineered a containerized web scraping and alert tracking system for INTERPOL red notices. Designed and implemented asynchronous data pipelines and microservices using Python, Flask, and RabbitMQ.
Software Development Intern
Digital Transformation Office of the Presidency of Türkiye
Aug 2024 - Sep 2024 (1 month)
Developed deep learning models using TensorFlow and Keras frameworks. Applied transfer learning and optimization techniques for model performance improvement.
Education
Degrees, certifications, and relevant coursework
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/umutsahin222Salary expectations
Social media
Job categories
Skills
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