I am a developer interested in Artificial Intelligence, Machine Learning, Generative AI, Retrieval-Augmented Generation (RAG), and data analysis. I enjoy turning concepts into useful applications—especially interactive tools built with Python and Streamlit.
- 🔭 Currently building projects in Generative AI and Machine Learning
- 🌱 Exploring RAG pipelines, embeddings, vector databases, and LLM applications
- 💡 Interested in creating practical AI-powered web applications
- 📊 Enjoy working with data, visualizations, model evaluation, and feature engineering
A PDF question-answering application using Mistral embeddings, ChromaDB, MMR retrieval, and a Streamlit interface.
Generative AI projects featuring chatbots, structured movie-information extraction, embeddings, LangChain, Mistral AI, and Streamlit.
A Streamlit machine-learning app that predicts heart-disease risk using a trained K-Nearest Neighbors model.
Exploratory data analysis and survival prediction using visualizations, feature engineering, and Logistic Regression.
A project exploring networking and security-oriented development concepts.
- Building AI and machine-learning applications
- Learning LLM application development and RAG systems
- Improving data analysis, model evaluation, and deployment skills
“Learning, building, and improving—one project at a time.”