Uğurcan Akyüz
I'm Computer Vision Researcher
About
I am a Computer Vision Engineer with over five years of experience building deep learning-driven solutions for object detection, semantic segmentation, and image classification, particularly in healthcare and mission-critical applications. My approach bridges theoretical research and real-world deployment, focusing on critical issues such as domain generalization, robustness, and explainability.
Currently, I focus on developing techniques to enhance the generalization of machine learning models across diverse clinical domains. I also provide advisory support on model robustness, domain adaptation, and explainability, helping teams ensure their AI systems are trustworthy, resilient, and aligned with deployment realities.
With a strong foundation in both academic research and industry projects, I bring a strategic and impact-driven approach to solving computer vision challenges.
Skills
Programming Languages
Python, SQL, C#
Frameworks & Libraries
PyTorch, Ray Tune, Detectron, YOLO, OpenCV, Pydicom, Nibabel, Sklearn, Pandas, Matplotlib
Technologies
Linux, AWS (Lambda, S3, API Gateway), Docker, Git, JIRA, Multithreading, Multiprocessing
Industry Knowledge & Others
DICOM Standard, Medical Imaging Modalities (X-Ray, MRI, Endoscopy/Colonoscopy), GDPR
Resume
Education
Master's in Computer Engineering
2019 - 2023
Erciyes University, Kayseri, Türkiye
Thesis Title: Fetal Brain Tissue Segmentation Using Deep Learning
Context: To segment fetal brain tissues precisely and efficiently, state-of-the-art 3D segmentation models and patch-based training approaches have been researched. A new 3D U-Net model based on dilated convolutions has been developed. GitHub link of the project
Bachelor's in Computer Engineering
02 - 06/2018
Thomas Bata University, Zlin, Czech Republic
Program: Erasmus+ Student Exchange Program Student
Bachelor's in Computer Engineering
2014 - 2019
Erciyes University, Kayseri, Türkiye
Final Project: Mini Self-Driving Car Prototype
Task: Development of perception module for self-driving.
Professional Experience
Computer Vision Engineer
08/2022 - Present
ICterra, Ankara, Türkiye
- Working on classification problem, developing an explainable computer vision solution using over 150,000 images with deep learning models.
- Handling highly imbalanced datasets and developing preprocessing pipelines for images from different sources.
- Training advanced models like DANNs, analyzing data distributions, debugging and fine-tuning models, and validating outputs with clinicians. Achieved an average PR-AUC score of 0.80 across different datasets.
Computer Vision Engineer
07/2021 - 07/2022
Akgun Technology, Ankara, Türkiye
- Worked on a real-time medical object detection project. Developed and packaged a deep learning system that reached a score of 0.86 mAP running at 22 FPS on the GPU.
- Contributed to the migration of on-premise machine learning solutions to AWS, leveraging cloud capabilities for enhanced efficiency and performance.
Research and Development Engineer
10/2019 - 06/2021
Spark Calibration Services Inc., Ankara, Türkiye
- Development and deployment of automatic measurement recognition software using deep learning. RESTful service has been implemented to be integrated with Metrology.NET.
- Developed a data processing program, reducing the processing time for large Excel files from 45 minutes to just a few minutes.
- Development of the SparkS script language (DSL) that is used to calibrating RF and Microwave devices.
Publications
Segmentation of fetal brain tissues using 3D U-Net and the effect of gestational age on segmentation performance
Authors: Uğurcan Akyüz, Tayyip Özcan
Journal/Conference: Nigde Omer Halisdemir University Journal of EngineeringSciences, 12 (3) , 637-643.
DOI: https://doi.org/10.28948/ngumuh.1228788
Deep Learning & Artificial Intelligence can Solve Measurement Problems with Known Confidence
Authors: Uğurcan Akyüz, Michael Schwartz
Workshop & Symposium: 2020 NCSLI Workshop & Symposium, Aurora, Colorado, USA
Contact
You can reach me via LinkedIn.
Address
Ankara, Türkiye