- 🔭 I’m currently building a API Phantom-Shadow API Discovery & Risk Mapper
- 🌱 I’m constantly learning and exploring Artificial Intelligence, Machine Learning, and LLMs.
- 👯 I’m looking to collaborate on innovative AI projects and backend architectures.
- 🤝 Always open to suggestions and feedback for improving any project.
- ⚡ Fun fact: I love bridging the gap between complex AI models and robust backend systems.
- An offline-capable, knowledge-graph-driven clinical decision support system that predicts multi-class drug–drug interaction (DDI) risks (Mild, Moderate, Severe), generates transparent natural language explanations via SHAP feature attributions and NetworkX graph traversal, and suggests safer therapeutic alternatives.
- Focus: Python, Uvicorn, NetworkX, Streamlit, Scikit-learn, XGBoost, Pandas, NumPy, Matplotlib
- Link: https://github.com/melisasvr/Drug-Drug-Interaction-Risk-Predictor-with-Explainable-AI
🧠 AI, Machine Learning & Data Science
⚙️ Backend & Databases
💻 Frontend Frameworks
🔧 Tools & Architecture
