MEHMET SAIT OGUZ
Registered Nurse (ICU) since 2017 and software/AI specialist, combining clinical domain knowledge with deep learning and full-stack engineering.
About
Registered Nurse (ICU) since 2017 and software/AI specialist, combining clinical domain knowledge with deep learning and full-stack engineering. I build AI-powered medical image analysis pipelines and healthcare data systems that integrate into real workflows.
Currently, I’m completing an MSc thesis on AI-powered dental segmentation using YOLOv11m, SAM, and Mask R-CNN for panoramic X-ray images. Professionally, I design and deliver enterprise healthcare solutions across data pipelines, intelligent analytics, and medical device platforms.
- 9 years' experience
- Joined July 2025
Skills· 19
Languages
- EnglishAdvanced
- PortugueseIntermediate
- TurkishFluent
Industry experience
- Healthcare
- Software & Internet
- Professional Services
- Education
- Computers & Electronics
- Life Sciences
Work experience· 7 roles
Led AI architecture design for the Galileo Medical Device Tracking System using Angular, Java/Spring Boot, Kafka, and MariaDB. Built deep-learning pipelines for medical image analysis (YOLOv11, SAM, Mask R-CNN) to support clinical workflows. Designed intelligent analytics infrastructure for the Galibox ICU device data-collection platform. Guided research and contributed to AI-powered Clinical Information System and SaaS healthcare product strategy.
Software engineer intern working on roboc coding, mapping and wayfinding algorithms.
Worked as a long term intern software engineer focusing on data science. Responsibilities included organizing information to be presented in a clear and concise manner, analyzing data to identify areas for improvement, and conducting research on the latest industry trends and technologies to keep the team up-to-date on best practices, resulting in more efficient workflows.
Education· 8
Certifications and awards· 8
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