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Enzo V.EV

Enzo V.

Full Stack / AI & Data Scientist Dev

€500/day
2 projects
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Enzo

Full Stack Developer & Data Scientist: Bring your Web and AI projects to life.


Need to launch a high-performing MVP, design scalable SaaS software, or integrate Artificial Intelligence (AI) components into the core of your business?

With a dual profile as a Full Stack Developer and Data Scientist (Master's in AI), I can assist you from user-centered design to the deployment and management of cloud applications. I can act as a cloud infrastructure project manager for overall architecture (Cloud Architecture Design) as well as for data valorization and modeling.

🚀 MY TECHNICAL SKILLS:

• Full Stack & Web Application Development (TypeScript/JavaScript): Complete mastery of the ecosystem with React.js (CSS modules) / Vue.js for Front-End and Node.js / Express for Back-End. Expert in real-time architecture (Socket.io, WebSockets) and CDN integration (Cloudinary).

• Data Science, AI Data & Deep Learning: Development of predictive models and algorithms using Python / React, data manipulation, natural language processing (NLP), and advanced integration of Generative AI APIs (OpenAI, AI Chatbot, automation via n8n).

• Databases & Infrastructure Deployment: Optimization with MongoDB (Mongo Atlas) / MySQL, Docker containerization, and Cloud administration (AWS DevOps / Vercel).

🎯 WHAT I BRING TO YOU:

• Mobile App & MVP Launch: A pragmatic approach focused on business development to get your product out quickly, without technical debt.

• A Global Vision: I bridge Business Intelligence (BI), AI, and the user interface for a seamless experience. No more wasted time between the Data and Web teams.

Available immediately in Paris or remotely to discuss your needs. Let's discuss your project and establish a strategy and pricing offer tailored to your objectives!
  • English

    Native or bilingual

  • French

    Native or bilingual

  • Portuguese

    Native or bilingual

Can work on-site
Paris (up to 20km)

Experience

  • MediaLink
    Lead Fullstack Developer – IoT SaaS Platform & Real-Time Queue Management
    PRESS AND MEDIA
    December 2025 - February 2026 (2 months)
    Genève, Switzerland

    Design, architecture, and full development of a multi-site SaaS queue management solution connected to physical terminals (Kiosks/APK) and dynamic display screens.

    • Multi-Site & SaaS Management: Development of the administration space allowing clients to configure their various site ecosystems end-to-end (user account management, assignment of display screens and touch terminals per establishment).
    • Dynamic IoT Configuration (Terminals & Kiosks): Creation of an advanced graphical customization module from the web dashboard. Clients can instantly modify the design, branding, and interface of each touch terminal (APK Application / Kiosk).
    • Real-Time Architecture (WebSockets): Implementation of ultra-fast bidirectional communication via WebSocket. As soon as a design is modified in the administration area, it is instantly pushed to the terminal's APK for immediate refresh without reloading.
    • Ticketing Flow Management: Development of the complete business logic for the user journey: ticket printing/generation at the terminal, instant sending and dynamic display on waiting room screens, and agent interface for calling, recalling, skipping, or closing a ticket with one click.
    • Performance & Scalability: Optimization of queries and queue status synchronization to support high simultaneous flows across multiple live sites.
    Industry: IoT / SaaS / Connected Systems / Retail & Services
    Websocket SAAS Node.js Vue.js Express
  • DIMOTEC CONTROLE
    Lead Fullstack Developer Node.js / Vue.js – Architecture & Business Software
    REAL ESTATE
    January 2026 - January 2026
    Montpellier, France

    Design and full development of a B2B SaaS platform for managing work orders for real estate agencies and surveyors.

    • Robust backend architecture with Node.js (Express) and API security.
    • Advanced database modeling with MongoDB (management of agency structures, employees, clients, and workflows).
    • Development of a complex loyalty module: automatic prize pool system (precise calculations at 3% of TTC quotes) with complete transaction history for employees/agencies.
    • Optimization of the user experience (UX) on React: fluid admin dashboard and dynamic icon management.
    • Automation of critical processes: implementation of a conditional email notification loop (sendEmail, HTML templates) based on subtle business state changes (Appointment Statuses, Orders, Closures).
    • Code refactoring, business logic correction, and database optimization.
    Industry: Real Estate / Proptech / SaaS Software
    MongoDB Node.js Vue.js Express Task Automation
  • GTP
    Data Scientist & Full-Stack Developer (Vue.js / Node.js)
    TECH
    April 2023 - December 2023 (7 months)
    Paris, France
    As a Data Scientist and Full-Stack Developer within the High-Tech department, I designed and developed a custom analytical web application of the SaaS type (similar to an embedded Power BI), allowing each client to access their own Business Intelligence space.

    My key achievements on this project:

    • Multi-Tenant Architecture & Dynamic Connection: Development of backend logic under Node.js allowing the application to dynamically connect to the correct database (MongoDB / MySQL) in a completely isolated and secure manner according to the connected client.

    • Creation of Dynamic Dashboards & Dataviz: Design and development of interactive interfaces and dashboards under Vue.js. Integration of advanced charts, cross-filters, and data export modules (CSV, PDF, Excel) to provide fluid and intuitive data visualization.

    • Predictive Models & Machine Learning: Development and integration of machine learning and deep learning models under Python to generate business previews and predictive analyses directly integrated into the client space.

    • Data Processing & Cleaning: Implementation of data pipelines (ETL) to extract, clean, structure, and organize large volumes of complex raw data, ensuring the reliability of the displayed key performance indicators (KPIs).

    • Containerization & Deployment: Use of Docker to encapsulate microservices (Web and AI) and their dependencies, ensuring infrastructure portability and facilitating continuous deployment.

    Industry: High-Tech / Business Intelligence / Big Data
    Nodejs Vue.js Python Microsoft Power BI Machine Learning

Reviews

5.0

Out of 1 rating

O

Owen

Refonte du site internet et pub Google - SOPHROHYPNOPSY Dr PRUVOST-MACRON

Reviewed on 6/5/2026

Hello, Enzo has shown great rigor and professionalism in the particularly delicate professional task entrusted to him. He did not hesitate to go beyond himself, persevering, motivated, he is keen to satisfy his clients' requests, meticulous, prompt and concise, this freelance developer has done an impressively quality work in such a short time! Even going so far as to work in his own free time! All these invaluable qualities seen in the professional context where Enzo truly stands out! It is therefore with great pleasure that I warmly recommend him! Grade in letters (Academic) A or between 16 and 20. Professor Owen PRUVOST -MACRON LEGALAIS ( Phu/Mcu-inserm) Neuropsychiatrist addictologist, doctor for a state administration -DE Doctor of Medicine, laureate of the Faculty of Medicine of Poitiers University Hospital, of the CDOM 93 departmental council of doctors of Villemomble de la Seine saint Denis, and MEDICAL SOPHROLOGIST DE Appointment possible directly on my online agenda at resalib.fr/praticien/56943-docteur-owen-pruvost-macron-sophrologue-larochelle DrPruvost-Macron sophrologue.com

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Education

  • Master Data Scientist
    Ynov
    2023
    Diplome D'analyse de Donées et de Data Science
  • BTS SIO SLAM
    Webtech
    2022
    Bts en développement informatique

Certifications

  • Python
    Linkedin
    2022
    Python

Skill set

Categories