About me

Computer Engineering Student passionate about building intelligent solutions for real-world applications.

Currently studying Computer Science Engineering at the National Engineering School of Sfax (ENIS), with interests in AI/ML, automation, and full‑stack development.

What i'm doing

  • design icon

    AI & Machine Learning

    Building intelligent systems for prediction, computer vision, and NLP.

  • Web development icon

    Web development (MEAN)

    Developing scalable web apps and RESTful APIs.

  • mobile app icon

    Agent Orchestration & Automation

    Designing n8n workflows and AI agent pipelines for automation.

  • camera icon

    Computer Vision & OCR

    Extracting insights from images and documents using CV/OCR.

Social

Achievements

Resume

Education

  1. Computer Science Engineering — ENIS

    Sep 2023 — Present

    National Engineering School of Sfax (ENIS).

  2. Pre‑Engineering (Physics & Mathematics) — FSS

    Sep 2021 — Jun 2023

    Faculty of Sciences of Sfax (FSS). Ranked in the top 40% in the National Exam for Entrance to Engineering Schools.

Experience

  1. Software Engineer Intern — Assistance Plus Sfax

    Jun 2025 — Aug 2025

    Built a hybrid AI agent orchestration platform using n8n with advanced data pipelines, enabling real‑time monitoring and dynamic workflow adaptation. Stack: n8n, Python, AI/LLM, SQL, ChromaDB, FastAPI, Uvicorn, LangChain, Google Generative AI.

  2. End‑of‑Year Project — National Engineering School of Sfax

    Dec 2024 — May 2025

    AI‑powered energy consumption prediction platform with automated MLOps (KubeFlow/MLFlow) and anomaly detection for resource optimization. Stack: scikit‑learn, MongoDB, Apache Spark, TensorFlow, SQL, Prophet, Django, React, AWS.

  3. TerraNova 2056 — Smart City Platform

    Sep 2024 — Dec 2024

    Scalable system combining satellite tech with CanSat devices for real‑time data collection and analysis; applied ML to satellite/CanSat data for vegetation health and environmental prediction. Stack: Python, scikit‑learn, TensorFlow, satellite imagery (rasterio), NDVI, real‑time processing, data viz, geospatial & sensor integration, Git.

  4. AI Receipt Processing Automation

    Oct 2025 — Present

    Built full-stack receipt automation platform with React frontend, FastAPI backend, and Discord bot integration. Implemented intelligent processing pipeline combining Tesseract OCR and Gemini Vision API for structured data extraction (vendor, amount, date, category). Skills and tools: FastAPI • React • PostgreSQL • discord.py • Gemini Vision API • Tesseract OCR • SQLAlchemy • JWT • REST APIs • Git.

My skills

  • Python
    90%
  • Machine Learning
    85%
  • Deep Learning
    80%
  • Natural Language Processing (NLP)
    80%
  • MEAN Stack
    75%
  • SQL
    75%

Contact

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