I build practical, intelligent applications by combining
Machine Learning, Computer Vision, and Software Engineering.
I like taking projects beyond notebooks from data and models to tested, usable applications.
- 🎓 Software Engineering student at Fırat University
- 🤖 Focused on Machine Learning, Computer Vision, and AI Engineering
- 💻 Building complete solutions from data preparation and model evaluation to APIs, interfaces, testing, and deployment
- 🧪 I care about reproducibility, automated testing, CI/CD, and maintainable engineering workflows
- 🤝 Experienced with Agile/Scrum, Scrum Master responsibilities, Git collaboration, and code review
- 🔎 Interested in ML/AI internships, junior opportunities, and research collaborations
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Machine-learning assessment focused on freight-rate prediction with time-aware evaluation. Focus: Walk-forward validation, confidence analysis, reproducible scoring, automated testing |
End-to-end classification pipeline using XGBoost with class-imbalance handling and explainability. Focus: XGBoost, SHAP, preprocessing, model evaluation, testing, CI |
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Regression pipeline for comparing and tuning models to estimate residential property prices. Focus: Pipelines, preprocessing, GridSearchCV, model persistence, Streamlit |
Real-time computer vision system for face enrollment, recognition, and attendance tracking. Focus: OpenCV, face recognition, real-time video, testing |
✍️ Air WriterReal-time hand tracking and gesture recognition for drawing in the air using a webcam. Focus: MediaPipe, OpenCV, gesture recognition, real-time interaction |
Gesture-controlled game built with real-time hand tracking and computer vision. Focus: MediaPipe, OpenCV, hand tracking, interactive computer vision |
