Junior Software Developer
Building practical software, AI and systems-oriented solutions.
Recent Information Systems and Technologies graduate with project experience in software development and computer vision, and an academic background in databases, operating systems, Linux and computer networks. I focus on reliable, maintainable solutions and continue developing across AI, backend and edge systems.
ABOUT
Software development beyond a single stack.
I graduated from Trakya University's Department of Information Systems and Technologies. My education covered software development, operating systems, Linux system administration, databases, computer networks, information security, virtualization and artificial intelligence.
For my graduation project, I developed and compared deep-learning approaches for detecting driver fatigue from real-driving video data. This work strengthened my interest in computer vision, edge AI and software systems designed to solve real operational problems.
My goal is to build reliable software that connects application logic, data, artificial intelligence and real-world systems. I am at the beginning of my professional career and value honest presentation, maintainable code, problem solving and continuous learning.
Software Development
Building structured and maintainable applications while improving problem-solving skills through real projects.
AI & Computer Vision
Developing and evaluating deep-learning approaches for visual detection and classification problems.
Systems & Networking
Working with operating systems, Linux, computer networks, TCP/IP and connected devices.
Backend & Data
Improving my knowledge of application logic, databases, data flow and backend-oriented software design.
Technical Areas & Tools
Programming
AI & Computer Vision
Systems & Networking
Databases
Development Tools
Web & Interface
Projects
AI-Assisted Attention Monitoring and Fatigue Detection in Military Ground Vehicles
A graduation project focused on detecting driver fatigue from real-driving video data. Multiple deep-learning architectures were developed and compared to evaluate classification performance and inference latency, with edge-device testing prepared for NVIDIA Jetson Orin Nano.
Dataset
SUST-DDD Real-Drive — 2,074 videos
Edge Device
NVIDIA Jetson Orin Nano 8 GB
Model Comparison Results
VGG19 + LSTM
VGG19 + Vision Temporal Transformer
Best Classification
VGG19 + YOLOv8-cls
Lowest Latency
Personal Portfolio Website
Personal portfolio website built with semantic HTML, Tailwind CSS and vanilla JavaScript. Features bilingual support, dark mode, responsive layout and accessible navigation.
Background
Experience
Software Development Intern
Cosmos Eğitim Hizmetleri ve Bilişim Ltd. Şti.
Contributed to frontend and backend tasks for web-based software projects and supported software maintenance processes. Gained practical experience in database operations, debugging, feature improvements and team-based development workflows.
Education
Bachelor's Degree — Information Systems and Technologies
Trakya University
Relevant areas:
Graduation Project: AI-Assisted Attention Monitoring and Fatigue Detection in Military Ground Vehicles
CONTACT
Open to new opportunities.
I am currently seeking entry-level software development opportunities, particularly in software engineering, AI and computer vision, backend development and systems-oriented work. You can reach me by email or connect with me through LinkedIn.
sevdibozz@gmail.com Copy
Email (Click to copy)
Sevdi Boz
sevdiboz
GitHub
Edirne, Türkiye
Location
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