İzzet Can Sorna
@izzetcansorna
I build production-ready computer vision systems for medical imaging, robotics, and real-time AI applications.
What I'm looking for
I've built computer vision systems for medical imaging, including YOLOv11 models for skin-concern detection at Bluesense and brain imaging research with a 97.04% mAP score.
My work spans end-to-end diagnostic tools, from quantifying lower-eyelid malposition across 3K+ clinical images to optimizing inference to 20ms per frame for clinical hardware. I use Python, PyTorch, OpenCV, ResNet, MobileNet, and YOLOv11 to turn complex datasets into deployable AI products.
At FlyRank AI, I improved data-processing pipelines to reduce preparation time by 35% and accelerated training across 10+ datasets through feature engineering, hyperparameter tuning, and cross-validation.
I'm also a mechatronics engineer who has built an autonomous quadruped robot, real-time motion-tracking systems, responsive React interfaces, and reliable network infrastructure. I enjoy combining AI, hardware, and software to solve practical technical problems.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer Intern
FlyRank AI
Jun 2026 - Present (2 months)
Engineered and evaluated machine learning models, optimizing data processing pipelines and reducing data preparation time by 35%. Accelerated model training across 10+ datasets through feature engineering, hyperparameter tuning, and cross-validation.
Education
Degrees, certifications, and relevant coursework
Marmara University
Bachelor of Science, Mechatronics Engineering
2020 - 2025
Grade: 3.10
Pursued a Bachelor of Science in Mechatronics Engineering, achieving a GPA of 3.10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
izzetportfolio.netlify.appPortfolio
izzetportfolio.netlify.appJob categories
Skills
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