Education
Bachelor’s Degree in Computer Engineering at Yozgat Bozok University, Türkiye. Current GPA: 3.10 / 4.00.
I am Nur Bilge Özcan, a Computer Engineering student focused on artificial intelligence, deep learning, computer vision, and modern software development. I enjoy building research-oriented projects, contributing to open-source work, and exploring AI-assisted software development workflows.
Computer Vision · Deep Learning · LLMs
My work connects academic research, model development, image processing, and practical software engineering.
Bachelor’s Degree in Computer Engineering at Yozgat Bozok University, Türkiye. Current GPA: 3.10 / 4.00.
Interested in machine learning, deep learning, CNNs, computer vision, NLP, model training, evaluation, and prompt engineering.
Focused on building practical, documented, and maintainable software projects that combine research with real-world use cases.
Contributed to the development of an artificial intelligence-based intelligent traffic control system. Designed real-time image processing and decision-making components using OpenCV, TensorFlow, and PyTorch.
Developed deep learning models using PyTorch and contributed to the full pipeline, including data preparation, model training, evaluation, and experimental reporting.
Built image processing-focused modules using Python and C++. Optimized real-time object detection, segmentation, and filtering processes with OpenCV.
Gained hands-on experience in project planning, execution, evaluation, teamwork, organization, problem-solving, and process improvement.
Developed a video processing pipeline using OpenCV and improved real-time analysis capabilities for agricultural technology scenarios.
Optimized PyTorch and TensorFlow-based models for deployment-oriented workflows and improved model-driven decision-making mechanisms.
Contributed to deep learning models for real-time vehicle detection, classification, and traffic density analysis.
Organized hands-on repositories around prompt engineering, MCP workflows, SpecKit, and AI-assisted software development.
Visit GitHub →“Strawberry Ripeness Detection: Optimizing Harvesting Efficiency with YOLOv11”
Authors: Tahsin Soyak, Nur Bilge Özcan, Gökalp Çınarer. Published by IEEE. Conference Date: May 23–24, 2025.
I am open to academic collaboration, AI research, software development opportunities, and community-driven technology initiatives.