ADIKPETO Zinédine

1. Nov 2025 – Aug 2026

   Software Developer

   Akkodis

   • Developed full-stack proof-of-concept applications for General Electric Vernova.
   • Built backend and frontend solutions with Spring Boot, Angular and GraphQL.

2. Sep 2024 – Sep 2025

   Work-study Student – Software Engineer and Digital Transformation

   General Electric Vernova · Aix-les-Bains, France

   • Developed a real-time MES traceability application for electrical-insulator production.
   • Built a scalable backend for production traceability.
   • Optimised user interfaces for production traceability.
   • Integrated RAG workflows to identify defect root causes from historical production data.
   • Developed Java, Flask, Vue.js and WebSockets features for backend logic, real-time updates and reactive interfaces.
   • Contributed to automated testing and LLM-based features in an industrial software environment.

3. Mar 2024 – Aug 2024

   Software Developer

   Stage fin d’études - Digitalisation des tests RDC sur les cellules électriques

   • Developed a Flask and Vue.js web application to automate contact-resistance tests on electrical cells.
   • Designed dynamic virtual cells and real-time results analysis for testing workflows.
   • Used UML, PostgreSQL, MES, Jira and a CI/CD pipeline within a modular application architecture.

4. Aug 2023 – Feb 2024

   Part-time – IT Manager

   LMS Invention - Startup Industry 4.0 · Meknes, Maroc

   • Designed, developed and deployed the startup website with Django, Prisma and cPanel.
   • Served as the part-time IT point of contact, managing projects and coordinating deliveries with Jira.
   • Contributed technical input to the business model of an Industry 4.0 startup.

5. Jun 2023 – Aug 2023

   AI Backend Developer Intern – Blog AI

   Biris (Remote) · London, UK

   • Developed a RESTful API with Express.js and Node.js to automate Facebook and Instagram content creation and scheduling.
   • Integrated GPT-3.5 and MidJourney for automated content creation and Stripe for monetisation.
   • Documented the API with Swagger and worked on Slack integration for an AI-based backend project.

• Expertise: Augmented-Reality Personalisation

  • Developed an AI and augmented-reality platform for designing and visualising pergolas.
  • Collaborated with the University of Quebec at Rimouski on project design and implementation.

  Augmented RealityAI

• Big Data: Anomaly Detection

  • Developed a Big Data and machine-learning system to detect industrial anomalies.
  • Worked on identifying abnormal patterns in operational data.

  Big DataMachine Learning

• Intelligent Assembly Supervision

  • Developed a real-time assembly-supervision project using a CNN and a multimodal model.
  • Used contextual detection logic to contribute to identifying anomalies and defects.

  CNNMultimodal Model

• Cutting Optimisation

  • Developed a greedy algorithm to minimise waste when cutting sheets.
  • Optimised decision logic under industrial constraints.

  Greedy Algorithm

• Chrome Extension

  • Developed a Chrome extension for managing multiple copies, with linguistic recognition and AI-based dynamic summaries.
  • Worked on browser productivity and automated text processing.

  Chrome ExtensionLinguistic RecognitionDynamic SummaryAI

• Vue.js Component

  • Developed and published a dynamically loaded open-source Vue.js component on npmjs.
  • Focused on creating, packaging and distributing reusable frontend components.

  Vue.jsnpmjs

• Python
• Java
• Full-Stack Development
• Backend Architecture
• REST APIs
• GraphQL
• SQL
• PostgreSQL
• Spring Boot
• Flask
• JavaScript
• Node.js
• Express.js
• Vue.js
• Angular
• React
• Django
• Automated Testing
• CI/CD
• WebSockets
• UML
• Swagger
• Artificial Intelligence
• Large Language Models (LLMs)
• RAG
• GPT-3.5
• Machine Learning
• Deep Learning
• Big Data
• Anomaly Detection
• Neural Networks
• Sequential Models
• CNNs
• Multimodal Models
• MidJourney
• Tableau
• MES
• Jira
• Slack
• Prisma

• Specialised Master's Degree in Innovation Project Management

  2024 – 2025

  ITECH LYON

• Engineering Programme in Artificial Intelligence and Data Science

  2021 – 2024

  Arts et Métiers de Meknès (ENSAM)

• University Diploma of Technology (DUT) in Mathematics, Physics and Computer Science

  2019 – 2021

  Universités Hassan Premier (UHP)

• Baccalaureate in Mathematical Sciences

  2018 – 2019

  Sainte Félicité

• Neural Networks and Deep Learning | Sequential Models | Winner of the Seeds For The Future North Africa 2023 Competition | Excellence Award | Neural Networks and Deep Learning | Sequential Models | Excellence Award | Sequential Models | Winner of the Seeds For The Future North Africa 2023 Competition
• Sequential Models
• Winner of the Seeds For The Future North Africa 2023 Competition
• Excellence Award
• Neural Networks and Deep Learning | Sequential Models | Excellence Award | Winner of the Seeds For T

French (native language) · English (advanced)