AI & Software Engineer with expertise in backend development, API design, and LLM-powered systems. Recently completed my engineering degree and built production-ready applications during internships in Paris and Tunisia. I specialize in creating robust, scalable backend architectures that power intelligent AI solutions.

What I Do:

• ⚙️ Design & build RESTful APIs with FastAPI, Flask, and Node.js
• 🏗️ Architect scalable backend systems and microservices
• 🤖 Integrate LLMs into production APIs (LangChain, LangGraph, LlamaIndex)
• 🔍 Develop RAG systems for semantic search and knowledge retrieval
• 🚀 Deploy cloud-native applications on GCP with CI/CD pipelines
• 🕷️ Build intelligent scraping systems and automation tools
• 💾 Design database schemas (PostgreSQL, MongoDB, Redis)
• ⚡ Optimize API performance and implement caching strategies

Frameworks & Tools: LangGraph • Langfuse • LlamaIndex • Whisper • RAG • Prompt Engineering • Transfer Learning

Stack: FastAPI • Flask • Node.js • Express • NestJS • REST APIs • GraphQL • WebSockets • Server-side Validation • Domain-Driven Design

Tools: React • Next.js • Redux • Tailwind CSS

Tools: SQL • NoSQL • Vector Databases • OpenEmbedding

Platforms: GCP Cloud Run • CI/CD Pipelines • Microservices Architecture

Intelligent Web Scraping Platform
Python Gemini LangChain Langfuse Next.js FastAPI

An LLM-powered scraping system that intelligently discovers links, filters data, and extracts structured information from websites.

Key Features:

• 🤖 Autonomous extraction agent using LangChain + ADK
• 🧹 Advanced HTML cleaning pipelines for LLM compatibility
• 📊 Integrated Langfuse for prompt monitoring and optimization
• 🔬 Built-in benchmarking module to compare LLM performance
• 🚀 Deployed on MCP with FastAPI endpoints

Retrieval-Augmented Generation System
Python OpenEmbedding LangChain FastAPI

A production-ready QA system using semantic search and RAG architecture for intelligent document retrieval.

Key Features:

• 🎯 Open-source embeddings with semantic search
• 🛡️ Automatic out-of-context detection for irrelevant queries
• 🔄 Fallback AI agent for handling edge cases
• ⚡ REST API with FastAPI for easy integration

RSS to Video Automation
Flask React Remotion Selenium Whisper

Converts RSS feeds into engaging short videos with AI-powered content summarization and audio generation.

Key Features:

• 📰 Automated article extraction and preprocessing
• 🧠 LLM-based content summarization
• 🎙️ Whisper-powered audio generation
• 🎥 Dynamic video creation with Remotion

Health Risk Prediction System
Python LLM Streamlit

AI-powered application for predicting health risks in elderly patients using advanced language models.

Computer Vision Security System
Python CNN OpenCV TensorFlow

Deep learning model using CNNs to detect fence anomalies and enhance security through image recognition.

Software Engineer Intern @ Choose, Paris 🇫🇷 (Feb 2025 - Aug 2025)

• Built AI automation tools reducing manual errors by 70%
• Replaced Google Sheets workflows with custom web interface and REST API with server-side validations
• Developed scraping pipelines with rotating proxies and anti-bot handling
• Delivered reusable internal packages following Domain-Driven Design architecture
• Deployed microservices on GCP Cloud Run with CI/CD pipelines

R&D Intern @ LaTech, Tunisia 🇹🇳 (Jul 2024 - Sept 2024)

• Researched Lavague framework for LLM-powered web agents
• Benchmarked multiple LLMs on speed, cost, and consistency
• Built agent workflows using LangChain and LlamaIndex

• 🚀 Exploring agentic AI workflows and multi-agent systems
• 🧪 Optimizing RAG architectures for production use cases
• 🔧 Building AI-powered internal tools for automation
• 📚 Contributing to open-source AI projects

I'm actively seeking opportunities as an AI Engineer or Software Developer to build innovative AI-powered products. Let's collaborate and create something magical! ✨