About Sébastien
1. Rescuing AI projects: from generated code to mastered code:
2. Refactoring & legacy code migration:
What you get concretely:
French
Native or bilingual
English
Fluent
Experience
- KuzzleTech Lead Fullstack JS/TS — Refactoring & IoT ArchitectureINTERNET OF THINGS (IOT)September 2022 - February 2025 (2 years and 5 months)Toulouse, FranceTechnical lead on the core product of a large-scale B2B IoT platform (+2 million connected devices, 300k users). Mission focused on resolving technical debt, optimizing performance, and mentoring the team.
Achievements & Impact:
- Legacy frontend refactoring: Led the redesign of a Vue 2 application to Vue 3, reducing technical debt and making the interface 2x more responsive.
- Backend Node.js/TS Architecture: Designed complex plugins to enhance multi-tenant isolation on Elasticsearch, ensuring data flow reliability.
- Industrialization: Standardized CI/CD pipelines (linting, TS checks) and optimized them for half the startup and build time.
- Mentoring: Provided technical guidance to 3-4 developers (strict code reviews, skill development in TypeScript and Vue.js).
- AI Tooling: Integrated LLM development assistants to accelerate feature delivery.
🛠 Stack: Vue.js (2 & 3) · Node.js · TypeScript · Elasticsearch · Docker · CI/CD - OpenStudioFull-Stack & DevOps Developer R&D — Microservices ArchitectureSOFTWARE PUBLISHINGMarch 2021 - August 2022 (1 year and 5 months)Toulouse, FranceDesign and development of a high-traffic public service application (+10k daily visitors) within a team of 10. Mission focused on architectural resilience, modularity, and security of a distributed ecosystem.
Achievements & Impact:
- Microservices Architecture (Event-Driven): Designed an asynchronous synchronization system via MQTT between backend microservices, ensuring data consistency and platform resilience.
- Micro Front-end React: Implemented a modular architecture based on React and Next.js, enabling separation of functional domains for distinct teams.
- DevOps & Security R&D: Proof of Concept (POC) and implementation of a secure infrastructure including unified SSO authentication (Keycloak) and distributed object storage (MinIO / S3 compatible).
- Backend & Data: Participated in the development of backend services (PHP/Symfony 6) connected to optimized relational databases (PostgreSQL).
🛠 Stack: React · Next.js · Microservices Architecture · MQTT (Asynchronous) · PHP/Symfony 6 · PostgreSQL · Keycloak (SSO) · MinIO (S3) - ffly4uFullstack JS/TS Developer — IoT Platform & Node/Vue ArchitectureINTERNET OF THINGS (IOT)November 2019 - February 2021 (1 year and 3 months)Toulouse, FranceEvolution and modernization of a B2B IoT platform managing thousands of industrial connected devices, in a context of high real-time data volume and a legacy backend.
Achievements & Impact:
- Frontend & No-code Approach (Vue.js): Designed a module allowing clients to visualize and filter data autonomously. Result: 60% reduction in custom development requests.
- Microservices Architecture (NestJS): Created a data export microservice from scratch in TypeScript. Result: reliable process, reduced load on the main backend, and tripled export capacity.
- Data & IoT Optimization: Improved asynchronous processing of IoT trajectories (Node.js / Kuzzle / Elasticsearch) to ensure the consistency of geolocation flows.
- DevOps & Cloud (Docker/AWS): Redesigned continuous integration workflows. Result: halved image size and build times, accelerating production deployment.
🛠 Stack: Vue.js · TypeScript · Node.js · NestJS · Elasticsearch · Docker · AWS · Kuzzle
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Education
- Machine Learning & Data Certification (RNCP Level 6)OpenClassrooms2025Formation certifiante (Bloc de compétences RNCP 37837) permettant d'allier mon expertise en ingénierie logicielle (10 ans) aux enjeux de la Data et de l'IA. Compétences validées : - Data Engineering & Analyse : Préparation, nettoyage (preprocessing) et exploration des données (EDA) avec Python (Pandas, NumPy). - Machine Learning : Entraînement, optimisation et évaluation de modèles prédictifs (supervisés et non supervisés). - Data-driven Design : Visualisation des tendances (Matplotlib) et intégration d'une logique "donnée" dans la conception architecturale. Cette certification consolide ma capacité à intervenir sur des architectures hybrides (Web + Data) et à auditer avec pertinence des projets liés à l'IA.