Ertugrul Senturk
Hi, I'm Ertugrul.
After medical school and two years of practice as a doctor, I moved into software engineering. Over the next four years I built web applications for leading telecom operators in the MENA region, including STC, Vodafone and Mobily.
I'm currently pursuing an M.S. in Computer Science at the University of Rochester and working as a Research Assistant in Prof. Jiebo Luo's group. I work with clinical teams at the University of Rochester Medical Center (URMC) to design deep learning models for clinical imaging in fields such as dentistry and orthopedics. Rochester is a good place for this work. With the city's deep legacy in imaging technology, my advisor's years of industry experience at Kodak, and the resources of URMC, Rochester provides the perfect environment for this research.
Experience
Research Assistant, Medical Computer Vision
Eastman Institute for Oral Health, URMCSenior Full Stack Software Engineer
TelenityFull Stack Software Engineer
AssisttMedical Doctor
Emergency Call Services (112)Education
Master of Science in Computer Science
University of RochesterBachelor of Science in Computer Engineering
Yildiz Technical UniversityDoctor of Medicine (M.D.)
Selcuk UniversityMore About Me
Hi, I'm Ertugrul Senturk. I'm a doctor and a senior software engineer. My focus today is medical computer vision.
My career began in medicine. Working as a doctor in emergency health services taught me to make decisions under pressure, reason with incomplete information, and understand what patients and healthcare professionals actually need. Over time my interest shifted from individual cases to the software systems and data behind clinical workflows. I wanted to design and build those systems myself, so I moved into software.
That led me to complete a B.S. in Computer Engineering at Yildiz Technical University on top of my medical degree, and later to start a Master's in Computer Science at the University of Rochester, where I could bring the two fields together at a deeper level.
During my four years in the software industry I built large-scale systems for leading MENA telecom operators such as STC, Vodafone and Mobily. At Telenity I founded the frontend team, owned the Spring Boot backend architecture, and helped deliver a customer portal built for around 6 million registered users at Saudi Telecom (STC).
My web stack is centered on React and Spring Boot, with AWS, Kafka and Elasticsearch for scaling. On the computer vision side I work with PyTorch and TensorFlow, focusing on CNN and Transformer-based architectures. I also ship the models I train into mobile and desktop applications with React Native and Tauri, which is where my engineering background pays off.
AI is changing healthcare quickly, and I want to help build that change rather than watch it happen. Having trained in both medicine and computer science puts me in a good position to do that. As a doctor I could help one patient at a time. A good tool can reach far more people, and that is what draws me to this work.
Outside of work I enjoy experimenting with new interface ideas, training models out of curiosity, and mentoring junior developers. I believe good engineering depends as much on listening, empathy and teamwork as it does on technical skill.
Today my main focus is developing AI models for medical imaging. I want to build applications that stay robust under real clinical conditions, run on the hardware clinics already have, and are easy to use. Having practiced as a doctor, I know firsthand how hard it is for a clinician to trust a new technology and bring it into their workflow. So a strong benchmark score is not the goal. I want to build tools that clinicians actually use and that make their work easier.