- 🌱 Currently working as an AI Engineer at Virasoft, building deep learning pipelines for digital pathology (tumor segmentation, mitosis detection, stain normalization, GAN-based color transfer, image enhancement).
- 🎓 Pursuing a Master’s degree in Artificial Intelligence at Gebze Technical University, focusing on computer vision, NLP, machine learning, and statistical data analysis.
- 🧠 Research and hands-on expertise in object detection, semantic/instance segmentation, GANs, LLMs, multimodal learning (image + text), RAG systems, and generative AI workflows.
- 🛠 Experienced in deploying AI solutions with Docker, Kubernetes (ArgoCD), and CI/CD pipelines.
- ☁️ Cloud experience across AWS (S3, SageMaker, ML pipelines) and Azure (Machine Learning Studio, cloud deployment).
- 🔭 Past projects include:
- Digital Pathology: Developed U-Net tumor segmentation, GAN-based stain normalization (CycleGAN, StainGAN), multi-scanner WSI enhancement using generative models.
- RAG & LLM Agent Systems: Designed pipelines for retrieval-augmented generation, LLM orchestration, and domain-adapted generative workflows.
- E-commerce Multimodal AI: ResNet–BERT fusion for product classification, hierarchical label prediction, cross-attention fusion models.
- Speech-to-Text Ecosystem: Fine-tuned Whisper & Kaldi models, real-time pipelines (FastAPI, Streamlit, whisper.cpp), domain-specific Turkish medical transcription.
- Autonomous Systems: Teknofest 2019 Unmanned Underwater Vehicle (3rd place), UAV fire-detection system with TensorFlow & OpenCV.
- 📫 How to reach me: shbkukuk@gmail.com
- 📄 Resume
- ⚡ Fun fact: I enjoy mountain biking, camping, and playing volleyball (former player for 4 years)
