📍 Paris | AI Product Builder · Hospitality Agentic Systems
🟢 Currently available — CDI · CDD · Freelance
Building AI-native tools for hospitality ops, city life, industry knowledge management, and vinyl culture.
- 🛏️ Hospitality Multi-agent Architecture - Meta-repo of the Hospitality Agentic Mesh - Specialized AI agents for hotel operations.
- 🛏️ Aetherix - Contextual Agentic Intelligence layer for Hospitality Operations. (private repo — walkthrough on request)
- 🔊 Tacet – A proactive, headless intelligence layer designed for the hospitality sector. It predicts the impact of the external acoustic environment, moving from passive awareness to proactive yield management.
- 🗣️ Lore - Voice AI mentor for aviation maintenance: captures what a retiring technician knows and never wrote down, then gives it back to a junior on the shop floor by voice, always behind the procedure.
- 🧭 Compass - Every address has a story. Every neighbourhood has its specifities. Don’t just find a space. Understand it. Compass turns open data into traceable, address-level context for commercial location decisions in Paris.
- Exploring agentic AI for operations – Applying agents to hospitality, music, and real-world services (from hospitality to the industry).
- Shipping AI-native products – Full-stack builds from prototype to live MVP, with a bias for fast iteration and real usage.
- Publishing for agents, not just people – my work is machine-readable: a live MCP server behind ivandemurard.com exposing my case studies as typed tools,
paris-compass-mcpon npm (npx -y paris-compass-mcp, six tools, read-only), andllms.txton the flagship repos. - Writing & learning in public – Sharing notes on product, evals, and AI systems design (Paris-based meetups, talks, and online content).
- Problem Analysis - Understanding the context, problem, and architecture before building.
- Build - Picking the adapted stack and methodology, applying quick iterations, and rapidly testing.
- Continuous Discovery - Continuously challenging the vision and roadmap, by analyzing the competition, market, and industry's novelties, insights, and weak signals.
- Documenting - Establishing a Single-source-of-Truth, keeping the context, decisions made, what went well, and what didn't, formalized and accessible.
- Engineering rigor - 1.13:1 test-to-app LOC ratio and 12 tracked ADRs on the flagship system; handled a real leaked-secrets incident end-to-end (history rewrite, full credential rotation, GitHub Support purge, post-mortem).
- 🏨 Hospitality PMS (fortil for DomusVi) – Wrote the functional spec for the F&B module of a hospitality PMS serving DomusVi, France's 3rd-largest eldercare group; MVP delivered, rollout planned for 500+ users across 100 properties. The operational problem the Mesh is built for.
- 🔊 Sonor – Co-founded an open-data SaaS to monitor and analyze urban noise, helping cities act on noise pollution.
- 🔎 EvalLabs – Evaluation solution for agent-to-agent workflows with business‑centric metrics. (private repo)
- 💿 喫茶 KISSA – Digital twin of your record collection: scan, contextualize, and curate. Built for selectors and hi-fi hospitality.
- Product management roles across various sectors and company sizes: start-up, scale-up, large corporations.
- Various experiments around open data, automations, and internal tools that now inform my current agentic AI work.
- Hosted a Product Management - Lenny's Newsletter meetup in Paris.
- Joined 5 hackathons, won 2.
- Regularly attend product and AI events and communities.