About Enzo
Full Stack Developer & Data Scientist: Bring your Web and AI projects to life.
English
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French
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Portuguese
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Experience
- MediaLinkLead Fullstack Developer – IoT SaaS Platform & Real-Time Queue ManagementPRESS AND MEDIADecember 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 - DIMOTEC CONTROLELead Fullstack Developer Node.js / Vue.js – Architecture & Business SoftwareREAL ESTATEJanuary 2026 - January 2026Montpellier, 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 - GTPData Scientist & Full-Stack Developer (Vue.js / Node.js)TECHApril 2023 - December 2023 (7 months)Paris, FranceAs 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
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Education
- Master Data ScientistYnov2023Diplome D'analyse de Donées et de Data Science
- BTS SIO SLAMWebtech2022Bts en développement informatique
Certifications
- PythonLinkedin2022