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saidibnerradi603/README.md

Hi, I'm Said Ibnerradi 👋

About Me

I'm an AI & Backend Developer with a Master's degree in Big Data and Decision Support. My work sits at the intersection of Generative AI and backend engineering — taking LLMs from experimental scripts and deploying them into functional, production-ready software architectures.

My current focus spans Retrieval-Augmented Generation, multi-agent systems, and LLM-powered automation. I engineer the REST APIs, vector database architectures, and event-driven backend infrastructure required to deploy LLMs securely, observably, and at scale in production environments.

What I Build

Area Description
Production-Ready RAG Systems End-to-end document retrieval and Q&A pipelines connected to vector databases
Scalable AI Backends High-performance RESTful APIs (FastAPI) that seamlessly serve AI models to front-end applications
Multi-Agent Workflows Event-driven, automated AI agents that interact with external tools and databases
Automated Data Pipelines Robust web scraping and custom ETL architectures that transform raw data into actionable insights

Tech Stack

AI / LLM Frameworks

LangChain LangGraph LlamaIndex Pydantic AI Google Gemini Mistral AI Amazon Bedrock

Vector Databases & Search

Pinecone Qdrant pgvector Elasticsearch

Backend & Databases

Python FastAPI PostgreSQL MongoDB Supabase MySQL Redis RabbitMQ Celery SQLAlchemy

Data Science & ML

NumPy Pandas Scikit-learn PyTorch OpenCV spaCy Matplotlib

Data Engineering & MLOps

Apache Airflow Apache Spark MLflow LangSmith

Web Scraping & Automation

Selenium Playwright BeautifulSoup n8n

Cloud & Infrastructure

Docker AWS Git GitHub Netlify

Frontend

HTML5 CSS JavaScript Streamlit Gradio

GitHub Stats

GitHub Stats

Top Languages

Connect With Me

LinkedIn   GitHub   Email

Feel free to connect with me on any of these platforms. I'm always open to interesting conversations and collaboration opportunities!

Pinned Loading

  1. YouTubeRAG YouTubeRAG Public

    A RAG-based application that transforms YouTube videos into interactive conversations using simple Retrieval-Augmented Generation Architecture. Ask questions about a YouTube video and receive preci…

    Jupyter Notebook 2

  2. pdf-rag-chatbot pdf-rag-chatbot Public

    RAG system for intelligent question answering over PDF documents

    Python 6 1

  3. postgres-sql-agent postgres-sql-agent Public

    A natural language interface for PostgreSQL databases, powered by a Langchain ReAct agent, FastAPI backend, and Streamlit UI.

    Python 1

  4. task-manager-api task-manager-api Public

    A RESTful API for task and to-do list management built with FastAPI, PostgreSQL, and SQLAlchemy. Features JWT authentication, role-based access control, and task organization with folders and tags.

    Python

  5. Smart-Webpage-Summarizer Smart-Webpage-Summarizer Public

    AI-powered web app that summarizes any webpage content . Uses Crawl4AI + Google Gemini to extract key points, insights, and entities from URLs. Built with FastAPI backend and React frontend featuri…

    JavaScript 1

  6. local-rag-chatbot local-rag-chatbot Public

    A privacy-first local RAG engine leveraging Ollama for offline LLM inference (Qwen) and vector embeddings (Nomic), built on a FastAPI backend and interactive React UI.

    Jupyter Notebook