Laurent Bruère

Developer of the WahooArt.com project, a complete overhaul of the WahooArt.com platform, a leader in online art reproduction and artistic personalization.

This project transforms a classic e-commerce site into an AI-powered cultural and emotional experience.

Based on Django 5.2, PostgreSQL FTS, and LangChain/OpenAI, WahooArt combines performance, artificial intelligence, and large-scale user personalization.

The architecture relies on a modular back-end (Artists, Artworks, Museums, Articles, Orders) with 20 native languages, and an AI-powered semantic search engine capable of cross-referencing internal data and external content (Wikipedia, Web, Google).

The system integrates:

AI Content Generation Engine: automated content generation pipeline (descriptions, biographies, metadata) based on OpenAI / LangChain and orchestrated via asynchronous tasks.

Distributed Task Orchestration Layer (Django Q): execution of over 250 parallel jobs (FTS indexing, AI generation, NLLB-200 translation) using a PostgreSQL ORM backend without Redis/Celery dependency.

Adaptive Internationalization Stack: framework for automatic detection of country, currency, and UI language, combining middleware, persistent cookies, and django-parler models for 20 languages and 35+ currencies.

B2B Personalization API Layer: dedicated endpoints for contextual personalization (decorators, hotels, galleries, architects), with persona-driven profiling, AI pre-loading, and front-end integration via REST/GraphQL.

In 2012, I launched the ArtsDot.com project, a web platform dedicated to the intelligent indexing of artworks. I designed the technical architecture of the site, as well as a custom web spider capable of crawling thousands of web pages to automatically identify, analyze, and retrieve the best images of artworks and their metadata (title, artist, date, museum, etc.). I developed link analysis and scoring algorithms to select the most reliable sources. The project included a centralized database, an internal search engine, and a multilingual interface optimized for user experience. This work required skills in web scraping, image processing, semantic analysis, full-stack development, and SEO.

Laurent Bruère, as founder and AI team lead, launched EasyAutoML.com in 2020, establishing its headquarters in Lviv, Ukraine.

During the development phase, Laurent laid the foundation for the software architecture, ensuring the platform's robustness and scalability. He was directly involved in resolving technical challenges, fixing bugs, and implementing improvements, thereby ensuring the platform's continuous enhancement and reliability. His direct involvement in training and managing a growing team of developers established a culture of excellence and innovation.