Computer Engineering Graduate · AI & ML Enthusiast · Data Science
Pamukkale University, Türkiye

• 🎓 Computer Engineering student at Pamukkale University, graduating in 2026
• 🧠 Passionate about Machine Learning, Deep Learning and Data Science
• 🦴 Built an AI-powered knee replacement recovery prediction system as my thesis — combining computer vision and tabular ML
• 🌱 Always learning: currently exploring Vision Transformers and XAI (Explainable AI)
• 💼 Open to full-time positions in AI / ML / Data Science

AI-powered decision support system for predicting post-surgery recovery after knee replacement

• Stage 1: Classifies Kellgren–Lawrence (KL0–KL4) grade from knee X-ray images using EfficientNetV2-M + OrdinalNet → Macro F1: 0.7097
• Stage 2: Predicts recovery duration using XGBoost Regressor with patient features (age, BMI, gender, comorbidities)
• Explainability: Grad-CAM heatmaps to visualize model attention
• Stack: Python · PyTorch · XGBoost · Next.js · React Native · FastAPI

AI / ML

Web & Mobile

Tools

"Turning medical data into meaningful predictions — one model at a time."