Computer Engineering · AI Research · Software Development

Building intelligent systems with AI, vision, and modern software.

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.

3.10 / 4.00 GPA
IEEE Published Author
2x TEKNOFEST Finalist
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AI Researcher

Computer Vision · Deep Learning · LLMs

PyTorch
OpenCV
TensorFlow
YOLO

Research-minded developer with a strong AI and software engineering focus.

My work connects academic research, model development, image processing, and practical software engineering.

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Education

Bachelor’s Degree in Computer Engineering at Yozgat Bozok University, Türkiye. Current GPA: 3.10 / 4.00.

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AI & Machine Learning

Interested in machine learning, deep learning, CNNs, computer vision, NLP, model training, evaluation, and prompt engineering.

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Engineering Mindset

Focused on building practical, documented, and maintainable software projects that combine research with real-world use cases.

Tools and technologies I use to build AI-powered software.

Programming Languages

Python C++ Java C# JavaScript MATLAB SQL Bash

AI & Data

OpenCV TensorFlow PyTorch Keras Scikit-learn NumPy Pandas CNNs NLP

Software & Platforms

.NET Spring Boot Docker Git GitHub Linux VS Code Visual Studio Jupyter Notebook

Applied experience in AI, image processing, and software development.

September 2025 — January 2026

TÜBİTAK — Researcher / Software Engineer

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.

January 2023 — August 2025

Smart Solar Technologies — Computer Engineer Intern

Developed deep learning models using PyTorch and contributed to the full pipeline, including data preparation, model training, evaluation, and experimental reporting.

July 2022 — January 2023

Istanbul University — Artificial Intelligence & Image Processing Intern

Built image processing-focused modules using Python and C++. Optimized real-time object detection, segmentation, and filtering processes with OpenCV.

February 2022 — July 2022

TNC Group — Project Management Intern

Gained hands-on experience in project planning, execution, evaluation, teamwork, organization, problem-solving, and process improvement.

Selected work across computer vision, AI research, and software development.

TEKNOFEST 2024 7th Place

Agricultural Technologies Finalist

Developed a video processing pipeline using OpenCV and improved real-time analysis capabilities for agricultural technology scenarios.

OpenCV Video Processing Real-Time Analysis
TEKNOFEST 2023 7th Place

Action-Based Turkish LLM Competition

Optimized PyTorch and TensorFlow-based models for deployment-oriented workflows and improved model-driven decision-making mechanisms.

LLMs PyTorch TensorFlow
BAP Project AI Traffic

YOLOv8-Based Intelligent Traffic Management

Contributed to deep learning models for real-time vehicle detection, classification, and traffic density analysis.

YOLOv8 Computer Vision Traffic AI
GitHub Portfolio

AI-Assisted Development Labs

Organized hands-on repositories around prompt engineering, MCP workflows, SpecKit, and AI-assisted software development.

Prompt Engineering MCP SpecKit
Visit GitHub →

Strawberry Ripeness Detection with YOLOv11

“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.

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YOLOv11 Computer Vision for Smart Agriculture

Active in student communities, mentoring, and technology initiatives.

Microsoft Student Ambassador Google Developer Groups Member T3 Foundation Instructor & Mentor YÖKAK Student Quality Evaluator Computer Engineering Student Society President Quality Ambassador

Let’s connect for AI, research, and software projects.

I am open to academic collaboration, AI research, software development opportunities, and community-driven technology initiatives.