Computer Engineering Student at Hacettepe University
I build intelligent, high-performance systems that blend computer vision, embedded platforms, and modern software — with a focus on precision, usability, and real-world impact.
My professional journey and key accomplishments
Working on computer vision and robotics systems, focusing on visual odometry, ROS-based architectures, and embedded camera integration using Raspberry Pi. Collaborating with the engineering team to develop reliable, real-time perception modules for drones.
Developed a feature-based visual odometry pipeline for the Teknofest "AI in Aviation" competition. Used ORB, BFMatcher, and Essential Matrix to estimate 3D motion from video frames. Aligned the trajectory with ground-truth using scale estimation and 3D rotation fitting. Exported full aligned positions for use in autonomous navigation systems.
Developing object detection and tracking algorithms using YOLOv11 and OpenCV for an Air Defense System. Focused on optimizing detection accuracy and tracking efficiency. Involves low level integration of motors, sensors, cameras, and STM32 microcontrollers for precise system operation.
A selection of projects that showcase my skills and passion for development
A full-stack AI application that generates personalized, evidence-based bodybuilding programs. Features a RAG pipeline using Pinecone to retrieve validated workout templates from Google Drive, eliminating AI hallucinations.
A native GNOME Shell extension for productivity-focused time management. Supports GNOME 45-49 with 70+ installs within 3 days of launch. Features customizable intervals, sound alerts, and seamless desktop integration.
A desktop app to organize and categorize movies with IMDb integration and persistent data storage. Developed with Java 17, JavaFX, and JSON handling.
Coursework projects covering algorithms, OOP, image processing, and game development. Built using Python, Java, and C++.
Advanced computer vision assignments covering image processing, feature detection, object recognition, and deep learning-based vision techniques. Implemented using Python and OpenCV.
Machine learning assignments covering supervised and unsupervised learning algorithms, neural networks, model evaluation, and practical ML applications using Python.
Technologies and tools I work with
Next.jsI'm a Computer Engineering student at Hacettepe University, passionate about solving real-world problems through software and hardware integration. My interests lie in computer vision, embedded systems, and fullstack development.
I’ve worked on diverse projects, from mobile apps using Flutter to air defense systems. I continuously enhance my skills through competitive programming and hands-on development.
I enjoy working at the intersection of algorithms, systems, and user experience — always aiming to build efficient, scalable, and impactful solutions.
I'm always interested in hearing about new opportunities
Whether you have a project in mind or just want to chat, feel free to reach out!
oguzhankokulu@gmail.com