M.Sc. Artificial Intelligence and Computer Science student at the University of Calabria.
I am interested in Healthcare AI, Medical Imaging, Natural Language Processing, Multimodal AI, Explainable AI, Large Language Models, RAG systems, and AI agents.
I use GitHub and Hugging Face to document my learning, research prototypes, and applied AI/ML projects.
- Healthcare AI and medical imaging
- Explainable AI for trustworthy clinical decision-support systems
- Vision-language and multimodal AI for image-text understanding
- NLP for classification, toxicity detection, and language understanding
- Retrieval-Augmented Generation (RAG) and LLM-powered assistant systems
- Multi-agent AI systems and agentic workflows
Pneumonia classification from chest X-ray images using deep learning and Grad-CAM explainability.
Automatic medical report generation from chest X-rays using ResNet50-GPT2 and DenseNet121-LSTM encoder-decoder models.
A DistilBERT-based multi-label toxicity classifier with Integrated Gradients explanations using Captum.
A Hugging Face Space for generating captions from uploaded images using a BLIP-based vision-language model.
🔗 Hugging Face Demo
🔗 Model Card
A CrewAI-powered farming advisory system using LLM agents to generate crop-specific recommendations based on soil, weather, pest management, and economic viability.
End-to-end data warehouse and visualization project using Python ETL, PostgreSQL star schema design, and Tableau dashboards.
A Docker-first medical knowledge graph pipeline that converts medical CSV data into RDF, validates it with SHACL, applies reasoning, and provides an exploration interface.
- GitHub: github.com/yaekobB
- Hugging Face: huggingface.co/YaekobB
- LinkedIn: linkedin.com/in/yaekob-beyene-yowhanns
This profile highlights selected academic, portfolio, and research-oriented projects. Some projects are prototypes or learning-based implementations and are continuously improved over time.