I'm a Data Science & Artificial Intelligence student passionate about building intelligent, data-driven solutions and turning ideas into practical applications.
My interests span Data Science, Machine Learning, Deep Learning, Natural Language Processing, Generative AI, LLMs, Agentic AI, and Explainable AI. I also enjoy developing the engineering side of AI applications, including backend systems, APIs, databases, cloud infrastructure, and deployment.
I'm always looking to learn, build, and work on challenging problems where data, AI, and software engineering come together.
📊 Data Science & Analytics
Data Cleaning • Exploratory Data Analysis • Feature Engineering • Statistical Analysis • Data Visualization • Predictive Modeling
🤖 Machine Learning & Deep Learning
Machine Learning • Neural Networks • CNNs • RNNs • GRUs • Attention Mechanisms • Model Evaluation
💬 NLP & Information Retrieval
Natural Language Processing • Transformers • BERT • Semantic Search • Information Retrieval • Text Processing
✨ Generative AI & LLMs
Large Language Models • Prompt Engineering • RAG • LLM Applications • AI-Powered Applications
🔗 Agentic AI
AI Agents • Multi-Agent Systems • Tool Use • Workflow Orchestration • Automated Data Analysis
🔍 Explainable AI
Model Interpretability • SHAP • Explainable Machine Learning
⚙️ Software & Backend Engineering
REST APIs • FastAPI • Flask • Backend Development • Database Integration
☁️ Cloud & Deployment
AWS • Docker • Terraform • Cloud-Based Applications
Transformers BERT PyTerrier LLMs RAG Agentic AI SHAP
Microsoft SQL Server
An AI-powered multi-agent data analysis system that transforms natural-language questions into structured data insights.
The system uses specialized agents for:
- 🧭 Orchestration & task planning
- 🗄️ SQL generation & execution
- 📊 Data analysis
- 📈 Data visualization
- 📝 Automated reporting
The goal is to create an end-to-end workflow where users can ask questions about their data in natural language and receive meaningful, structured insights.
Tech: Python LLMs Groq Agentic AI SQL FastAPI Data Analysis
A full-stack healthcare management system designed to streamline clinic operations and improve the management of patients, appointments, medical records, and administrative workflows.
The project combines frontend development, backend services, and database management to provide an integrated digital solution for healthcare environments.
Tech: Python Flask SQL HTML CSS JavaScript
An information retrieval and NLP system designed to help users search and discover songs using natural-language queries.
The project explores BERT-based representations, semantic understanding, and information retrieval techniques to improve search relevance.
Tech: Python BERT PyTerrier NLP Information Retrieval
A deep learning research project focused on early sepsis prediction while investigating model interpretability using Explainable AI techniques.
The project explores sequence modeling, attention mechanisms, class imbalance handling, and model explanations.
Tech: Python TensorFlow Keras GRU Attention SHAP
🔹 Advanced Machine Learning
🔹 Deep Learning & Neural Networks
🔹 Large Language Models
🔹 Retrieval-Augmented Generation (RAG)
🔹 Agentic AI & Multi-Agent Architectures
🔹 Data Engineering
🔹 MLOps
🔹 Production AI Systems
🔹 Cloud-Based AI Deployment
I'm working toward becoming an AI / Data Science professional capable of taking a problem from raw data to a complete intelligent solution.
I'm especially interested in the intersection of:
and in building AI systems that can go beyond prediction to understand, reason, analyze, and act.
I'm always open to connecting with people interested in:
Artificial Intelligence • Data Science • Machine Learning • Generative AI • LLMs • Agentic AI • Software Engineering
📫 Email: nour151205@gmail.com
