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Badii Ben SlamaBB

Badii Ben Slama

Fullstack Developer Python – RPA - AI

€550/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Badii

I support companies in the design and development of robust Python solutions, focused on automation, data processing, and business process improvement.

I have worked in several demanding sectors such as nuclear, telecommunications, construction, healthcare, and AI innovation. My experiences have allowed me to work on internal tools, web applications, RPA solutions, automation scripts, user interfaces, as well as artificial intelligence and computer vision projects.

My main expertise covers:

Backend Python development with Flask, Django, FastAPI
Fullstack development with React / JavaScript
Process automation with Python, Selenium, UiAutomation, UiPath
Data processing and structuring with Pandas, NumPy, Excel, PostgreSQL, MongoDB
Artificial intelligence, computer vision, PyTorch, TensorFlow, YOLO
Creation of business tools, Tkinter interfaces, reporting scripts, and Excel automation
CI/CD, Git, GitLab, Jenkins, Docker, Azure DevOps
Writing technical specifications, documentation, and business support

My approach is pragmatic: understand the need, identify automatable tasks, propose a simple and maintainable solution, and then quickly deliver value. I am comfortable in complex technical environments as well as in exchanges with business teams.

I can be involved in Python development missions, RPA automation, API creation, internal application development, data processing, industrialization of existing tools, or AI prototyping.
  • Arabic

    Native or bilingual

  • English

    Native or bilingual

  • French

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Alten Labs
    Python Dev / AI Engineer / Computer Vision & AI Agents
    DIGITAL AND IT
    January 2026 - June 2026 (5 months)
    Lille, France
    Context:Development of AI demonstrators within the ALTEN Innovation Lab around computer vision, natural language-driven digital agents, and privacy by design for sensitive data reservation and validation use cases.
    • Computer Vision: image annotation/labeling, dataset preparation, and YOLOv10 model benchmarking for a 5-class object detection case.
    • Training and evaluation of several model iterations under Ultralytics / PyTorch, with analysis of metrics (precision, recall, mAP50, mAP50-95), confusion matrices, and external tests.
    • Digital Agents: study and prototyping of Task Oriented Dialogue (TOD) architectures coupled with MCP / JSON-RPC 2.0 to drive hotel/restaurant/payment reservation agents in natural language.
    • Comparative analysis of open-source solutions (Rasa, ConvLab-3, Tock, OpenClaw...) and definition of demonstration scenarios including information gathering, confirmations, error handling, and traceability.
    • Privacy by Design: design of demonstrators with data minimization, sensitive information masking, and externalization of certain validations to transmit only the strictly necessary attributes.
    Results obtained:
    • Production of Google Colab notebooks, technical reports, and comparison materials for internal and partner demonstrations.
    • Achievement, on the best YOLOv10 benchmark, of an [email protected] of 0.991 and an [email protected]:0.95 of 0.922 on external test.
    Python LLM Agentic AI Generative AI
  • Edvance
    Fullstack Python Developer – RPA
    ENERGY AND UTILITIES
    April 2024 - January 2026 (1 year and 9 months)
    Montrouge, France
    Context:Participation in New Nuclear projects, contributing to the standardization and performance improvement for EDVANCE.
    Responsibilities:Development of the HTC-Builder tool to compile, structure, and organize thermohydraulic data from various sources, while automating manual processes through RPA solutions to optimize data processing:
    Development and Automation:
    • Creation of a tool for automated alignment and processing of thermohydraulic data in Excel sheets, integrating Python scripts for automatic report generation.
    • Use of Robotic Process Automation (RPA) to automate the collection, structuring, and verification of thermohydraulic data from Excel files, thereby reducing manual effort and minimizing errors.
    • Development of graphical interfaces with Tkinter to facilitate tool usage and end-user interaction.
    • Management of code versioning and collaboration with the team via Git, ensuring optimal tracking of changes and development continuity.
    • Complete code documentation to ensure its maintainability and implementation of automated new data integration procedures.
    • Development and deployment of various web applications, including EWB (Edvance Well Boarding), Postflex, Ko@gen, and BOQ, using JavaScript/React for the front-end and Python (Django/Flask) for the back-end with PostgreSQL.
    Results obtained:
    • Deployment of the Postflex, Ko@gen, and BOQ web applications into production and their deployment on various virtual environments.
    • Preparation of documents and various deliverables requested by clients.
    Version Control and Continuous Integration with Git
    Python RPA Flask FastAPI UiPath
  • ALTEN labs
    Python / Javascript Developer
    January 2024 - April 2024 (3 months)
    92100 Boulogne-Billancourt, France
    The development of "AI4HR Recruiter", a web application for facilitating recruitment at ALTEN, particularly for project managers and innovation managers, is structured around several strategic and technical axes. The main objective is to implement a job recommendation system that optimizes the recruitment process by efficiently identifying available consultants who best match specific project needs:

    MongoDB Database Installation and Management:
    • Use of Python to script interactions with the database, thereby optimizing queries and data manipulation.
    Backend Development in Python:
    • Design and implementation of the backend architecture with Python, using the Flask framework to facilitate the creation of RESTful APIs.
    • Integration of Node.js.
    User Interface Development:
    • Creation of dynamic user interfaces using front-end technologies such as HTML, CSS, and JavaScript, ensuring a fluid and responsive user experience.
    Use of Azure for Deployment and Maintenance:
    • Deployment of the application on the Azure cloud platform, leveraging its services to manage the infrastructure, scalability, and availability of the application.
    • Configuration and use of Azure DevOps for continuous integration and continuous delivery (CI/CD), thus facilitating regular software updates.
    Version Control and Continuous Integration with Git and Azure Pipeline:
    • Implementation of a version control system with Git, enabling efficient collaboration among development team members.
    • Configuration of Azure Pipeline to automate tests and deployment, reducing manual errors and accelerating the release cycle.
    Python GitLab Azure DevOps Agile methodology JavaScript

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Education

  • Master's degree, Artificial Intelligence & Data Science
    Université Paris-Est Créteil (UPEC)
    2020
    Master's degree, Artificial Intelligence & Data Science
  • Engineering Diploma
    École Nationale d'ingénieurs de Sousse
    2019
    Diplôme d'ingénieur

Skill set

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