- Building advanced Retrieval-Augmented Generation (RAG) systems for context-aware AI applications
- Developing and fine-tuning large language model (LLM) pipelines for real-world use cases
- Exploring GAN-based generative models for image synthesis and enhancement
- Designing scalable end-to-end AI systems combining retrieval, generation, and optimization
- RAG architecture design and optimization
- LLM integration and prompt engineering
- Vector databases and semantic search systems
- GANs and generative AI pipelines
- PyTorch, deep learning, and AI system design
- Email: eyasusaketa@gmail.com
- LinkedIn: https://www.linkedin.com/in/eyasu-s-180b9186
- GitHub: https://github.com/eyasusaketa
