Computer Engineering student at Pamukkale University (4th year), focused on Computer Vision and AI/ML systems.
I don't just train models β I care about why they work, what breaks them, and how to build them properly.
- π Currently exploring ML system design and production-ready AI architectures
- π§ Interested in the intersection of deep learning, system design, and software craftsmanship
- π οΈ I use AI tools actively (Claude, Windsurf, NotebookLM) β and I think critically about how I use them
- π Denizli, Turkey
YOLOv8n-Pose + GRU β Image Processing Course Project
Real-time violence detection using pose estimation and temporal sequence modeling. YOLOv8n-Pose extracts skeleton keypoints per frame; a GRU network classifies motion patterns across time.
Python PyTorch YOLOv8 OpenCV GRU
ResNet50 + Triplet Loss β Multi-Agent Architecture
Individual sea turtle identification via facial features. Built a multi-agent Supervisor/Workers/BlackBoard architecture in pure Python. Fine-tuned ResNet50 with Triplet Loss, CLAHE preprocessing, Gemini Vision integration, FastAPI + JS frontend.
Python PyTorch ResNet50 Triplet Loss FastAPI Gemini Vision
Software Engineering Course β Design Patterns
Chain of Responsibility + Strategy + Factory Method patterns implemented in a production-style log middleware. Containerized with Docker, documented with full system design rationale.
Docker Design Patterns Software Architecture
- π Reading The Pragmatic Programmer β thinking about software craft, not just code
- ποΈ Learning ML system design: how models survive in production
- π― Looking for internship opportunities in AI/ML or backend engineering
