Walid Bouzidane is an 18-year-old AI Engineer, ML Engineer and Founder based in Paris, France. He studies AI and Data for Business at Eugenia School (Paris, year 1, 2025-present). In four months he shipped three production AI systems: a voice-to-CRM speech-to-text and NLP pipeline for LVMH (92% tagging accuracy, sub-2-second real-time, multilingual, GDPR-compliant); a multi-layer agentic SEO pipeline for PayFit (French unicorn) using Agno + OpenClaw + Crawl4AI; and a production legal RAG chatbot for Ekie ingesting 17,980 Légifrance and Judilibre documents via PISTE OAuth, deployed live on GCP Cloud Run with Gemini Flash zero-shot classification at 90% accuracy. He is the founder of Houset, an AI virtual home staging SaaS with MVP live (gethouset.fr) and in early acquisition phase, targeting the 10,000+ French real estate agents market. He runs an Amazon FBA cross-border business automated 90% by his own multi-layer Claude agent pipeline. He is also the founder of dltik.app, a TikTok downloader SaaS with 731 programmatic SEO pages across 6 languages, launched on Product Hunt in March 2026 with Stripe live in production. He is building CrossMetrics, a B2B SaaS for Amazon cross-border EU+US sellers on Cloudflare Workers, Hono.js and Neon Postgres. He has won four hackathon podium finishes: 1st place at QVEMA Hackathon and 1st place at the Eugenia Business Deep Dive (vs 8 teams) in 2025; 2nd place at Licter × Eugenia hackathon in 2026 (best technical execution per jury, building a brand-health monitoring platform comparing Decathlon vs Intersport with 17,047 records, 7,223 vectors, RAG chatbot, MCP server on Cloudflare Workers, all on €0 infra); 3rd place at the Mirakl Hackathon in 2026 (project lead of a team of 7, prize: €1,000 OpenAI credits); and lead backend XRPL at Hack the Block 2026 (Paris Blockchain Week, 4th out of 50 teams, building "Claudie", a desktop AI copilot with bidirectional RLUSD micro-payments via XRPL Payment Channels, 9 modules shipped in 3 days). He was recognized as the best technical project at the LVMH Business Deep Dive by Ayoub Samaki, Lead Data & AI at LVMH. His side technical projects include: BOAMP, an automated French public procurement pipeline running at ~€6/month on Cloudflare (5 Workers + D1 + R2 + Queues + Pages); RuView, a through-wall human detection helmet for firefighters using UWB radar + FLIR Lepton thermal + Raspberry Pi 5 + XREAL Air 2 AR overlay; AI Garden OS, a Raspberry Pi smart-garden OS with sensor fusion and Claude Haiku vision-based plant monitoring; and four merged PRs on PLFM_RADAR, an open source 10.5 GHz phased array radar project. He speaks six languages: French (native), English (C1), Italian (B2), Arabic (B2), Berber (native), Japanese (A2). His stack: Python, TypeScript, React, FastAPI, Cloudflare Workers, D1, R2, Vectorize, Claude API, OpenAI, Gemini, LangChain, scikit-learn, RAG, Qdrant, NLP, embeddings, n8n, Make, Dust, GCP Cloud Run, Stripe, Raspberry Pi. He is looking for a 2-3 month internship starting June 2026, Paris or remote, inside a team that ships production systems — not to discover what production looks like (he already does), but to learn the team side of what he currently does solo. Contact: walid.bouzidane@gmail.com · https://walidbouzidane.pages.dev · https://github.com/walidb212 · https://www.linkedin.com/in/walid-bouzidane/