About David
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Italian
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Experience
- L'oréalFullstack Python / Typescript developerFASHION AND COSMETICSApril 2024 - Today (2 years and 2 months)Paris, FranceAs a fullstack web developer I'm in charge of the development of the CreaiTech platform, a platform that enables users to generate ads images using prompt, based on AI models.❖ Implementation of media generation tools (images and videos) for advertising based onvarious AI models (Imagen3, Nano Banana, Veo3, etc.) configured via prompts and aconfiguration tool. Main features: text-to-image, editing (inpainting, outpainting, backgroundgeneration, image remixing, composition/style references), image animation (image-to-video), etc.❖ Implementation of tools to enhance creativity (enhanced prompts, image-to-text,"companions," etc.).❖ Implementation of a system for uploading and editing images via prompts.❖ Implementation of a gallery showcasing the user's AI-generated images, with filters,sortingtools, and display optimization.❖ Co-design and integration of a graphic charter for the interface and components (atomicdesign).
- KeringSenior fullstack developerLUXURY GOODSJune 2023 - November 2023 (5 months)Paris, FranceMaintenance of application services in the Kering ecosystem.(Typescript, NodeJS, NestJS, GraphQL, ReactJS, PNPM, Docker, Terraform, AWS, Kafka)Integration of a Korean payment system TOSS within a React application and microservices dedicated to paymentMaintenance and development of microservices for transmitting real-time information flows (payment, sending packages, miscellaneous information, etc.)Maintenance and evolution of the internal flow-lib framework on which the services are basedMaintenance and evolution of APIs based on NestJS and GraphQL
- RaidiumFullstack senior developerMEDICALMay 2023 - February 2024 (9 months)Paris, FranceDevelopment of a quick React web prototype app of a X-ray viewer with segmentations fed by AI
- Implementation of the viewer to display DICOM images representing X-rays
- Implementation of manual and automatic segmentations display and corrections / interactions with AI model
- Integration of Segment Anything Model AI to automatically segment X-rays to highlight some layers
- Implementation of segmentations filters
Technical stack:- Frontend: Typescript, React, GraphQL, Tailwind CSS, Cornerstone
- Backend: Python, FastAPI, Strawberry, Segment Anything Model AI
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Education
- DUT Service et Réseaux de CommunicationUniversité Joseph Fourier Grenoble I2010* Développement web fullstack * Réseau et télécommunication * Architecture de l'information * Conception UX Design * Conception Design web
- Licence professionnelle Système Informatique et Logiciel, option développement multisupportsUniversité de Savoie2011* Développement web front-end * Développement services back-end / API * Base de données * Développement app mobiles