Hi, Im Ahmed Bouzid
contact@ahmedbouzid.dev
Final-year data engineering student specializing in AI, computer vision, and data treatment. Using Artificial Intelligence to transform complex datasets into scalable, impactful solutions.
>_Languages
>_Skills
Core Skills
Programming
Databases
Experience
TipTalk Solutions
05/2025 - 08/2025UML Architect InternCyber Park, Jandouba
Responsible for architecting an application, designing its structure, and producing key UML diagrams (Use Case, Class, Object, Component, Sequence, Communication, Global Interaction, and State-Transition).
SlashUpStudio
05/2024 - 07/2024Full Stack developer InternCentre Urbain Nord, Ariana
Contributed to the development and maintenance of KOORS, a real LMS application. Designed and maintained APIs while optimizing performance and upgrading key features to enhance user experience and system efficiency(The response time of certain APIs has decreased from a few minutes to just a few seconds).
Education
Faculty Of Sciences Of Bizerte
Expected in 06/2026Data Engineer — Data Science
Certifications
AI Engineer for Developers Associate
DataCamp • 2025
Power BI Fundamentals
DataCamp • 2024
MOS Certification
Microsoft • 2023
Personal Projects
AI-Powered Vacation Planner
2025AI Agents for Travel Optimization (in progress)
A mobile application that helps users plan vacations with the assistance of AI agents. The system suggests the best restaurants, hotels, lodging, sports, and entertainment activities. It also organizes personalized calendars and recommends optimal transport options with the best prices.
Smart House IoT App
2024Real-time Smart Home with IoT & MERN
A smart house management application connected with ESP32 and real sensors (DHT22, PIR, Flame, Gas MQ-5, Light, etc.). Features include user and house management, real-time device monitoring, role-based access (admin/invited), and predefined default devices such as router, camera, compteur, and environmental sensors.
Log Attacks Detection
2024Machine Learning for Web Security
A project for analyzing Apache HTTP server access logs using machine learning to detect common cyber threats such as SQL Injection, Cross-Site Scripting (XSS), Distributed Denial of Service (DDoS), and other anomalous request patterns. It includes real datasets, request classification, and a simple UI for uploading and analyzing log entries.