About
I conduct research in artificial intelligence and develop projects particularly in computer vision, natural language processing, and generative AI. I have built innovative projects on smart agriculture technologies, medical image analysis, and data processing pipelines.
Curriculum Vitae / Résumé: English | Türkçe
Education
Focus: Computer Vision, Machine Learning, Natural Language Processing, Bioinformatics, Smart Agriculture Systems
Focus: Introduction to Education, Classroom Management, Guidance, Teaching Principles and Methods, Measurement in Education
Core Skills: Python, Java, SQL, Algorithms, Problem Analysis, Project Management, Presentation
Experience
- Built a 500,000+ image dataset using web scraping techniques and prepared 300,000 images for model training
- Trained and optimized ResNet and EfficientNet models for image classification
- Trained a YOLOv10 object detection model on a custom dataset and deployed it to production
- Developed a cross-platform mobile application with the Flutter framework
- Designed a real-time image processing application using a YOLOv5 model
- Managed image annotation workflows on the CVAT platform and led the data annotation team
- Collaborated with the company on my undergraduate thesis project
- Developed an Android mobile application using Java and Firebase backend services
- Performed feature development and bug fixing on the company's "HopinLock" smart lock application
Publications
An End-to-End Deep Learning Framework for Crop Type and Phenological Stage Identification
Automatic Detection of Weekly Growth Stages and Slaughter Time in Broiler Chickens with a YOLO-Based Deep Learning Model