Mejdi Haddad

Built production-grade GenAI applications using OpenAI, Google Gemini, LangChain, and Streamlit. Developed an AI Code Reviewer and an AI Assistant for Visually Impaired, integrating OCR, scene description, and TTS. Performed deep EDA on the Aspiring Minds Employability dataset and conducted full-stack data analysis on Electric Vehicle dataset, creating animated charts and choropleth maps.

Built a real-time intelligent chatbot using FastAPI, MongoDB, and Ollama, with a React.js UI and WebSocket integration for live responses. Utilized LangChain for prompt memory, Hugging Face for embeddings, and implemented FaissDB for document search and encrypted user data. Measured response similarity with sklearn (cosine similarity).

Developed the backend of a nutrition coaching platform using Spring Boot. Implemented secure authentication, role-based access, and session management for coaches and patients. Designed and managed a Dockerized MySQL database for storing and tracking patient metrics.

Created a Flask-based URL shortener with a responsive frontend and conducted EDA on the "Aspiring Minds Employability Outcomes" dataset. Built a Streamlit ML app for penguin species classification and developed rice disease detection with CNNs + OpenCV. Used MLflow to manage training experiments and model versions.

Developed a dynamic and responsive inventory management dashboard using React.js. Created interactive components for stock tracking, user authentication, and reporting. Ensured seamless user experience with reusable components and state management.

Pursued a degree in Computer Engineering, focusing on the design, development, and implementation of computer hardware and software systems. Gained expertise in various programming paradigms and engineering principles.

Completed a rigorous preparatory cycle program, building a strong foundation in mathematics, physics, and fundamental engineering sciences. This program prepared for advanced studies in specialized engineering fields.