I'm an AI Engineering student at Hacettepe University with hands-on experience in applied machine learning, deep learning, and full-stack deployment. I currently work as a Junior Data Scientist at Invent AI, where I build agentic AI workflows and RAG pipelines, and conduct research at Hacettepe University's Biological Data Science Laboratory on multimodal deep learning for drug discovery.
My focus is on building practical AI systems — from research prototypes to production-ready services — with a particular interest in LLMs, multimodal learning, and explainable AI.
- Large Language Models, Agentic AI
- Multimodal Deep Learning and Computer Vision
- End-to-end ML system design and deployment
| Project | Description | Stack |
|---|---|---|
| MuChem | Multimodal deep learning for drug property prediction using SMILES + molecular graphs | PyTorch, Transformers |
| DEEPScreen2 | CNN-based drug-target interaction predictor with SHAP explainability | PyTorch, SHAP, OpenCV |
| Web Infrastructure Deployment | Production deployment of React + Spring Boot apps on Linux VPS | Docker, Nginx, MySQL, CI/CD |
