Freelancer profile translated to English.
Back to original languageAbout Vincent
My background:
15 years in general construction and real estate development: project structuring, GPA (post-delivery defect management), buyer relations, bank applications.
Today, I design and deploy AI solutions for the construction and real estate sectors. Dual business and technical culture: I speak CCTP (Technical Specification), GPA, VEFA (Off-plan sales) before talking about prompt engineering.
What I do:
– AI Audit (2-3 days): mapping your processes, identifying 3-5 high-ROI quick wins, prioritized action plan.
– Custom Automations: customer chatbots, document generation (CCTP, quotes, minutes), RAG on your archives, AI integrations
– SaaS Development: finished products, not prototypes. Stack Next.js, Supabase, Vercel, Claude/GPT.
– Team Training: half-day or full-day, AI applied to your business.
For whom:
Construction SMEs (10-100 employees), developers, design offices, architects, real estate agencies.
How I work:
First 30 min call is free. Fixed fee or daily rate depending on the format. Concrete deliverables: code, tool, document — not a promise.
French
Native or bilingual
Can work on-site
Bordeaux (up to 50km)
Experience
- CHiffrIAChiffrIACIVIL ENGINEERINGNovember 2025 - Today (9 months)Context: SMEs in construction and artisans waste a considerable amount of time bidding on tenders they won't win. Need not covered by industry software.Solution: Pay-per-tender SaaS — upload tender documents, automatic extraction of lots, pre-filled estimate with sources and assumptions, PDF generation. Pay-per-use model (€89/standard tender, €199/complex).Result: MVP launched, benchmark validated on a real project (16 housing units + 2 commercial spaces, ~€3M). Estimated saving: 4-6 hours per tender compared to manual method.
- GPAFlowGPAFlowREAL ESTATEMay 2024 - Today (2 years and 3 months)Context: Developers manage GPA (12 months post-delivery) via Excel, emails, and phone. Time wasted, degraded buyer satisfaction, zero traceability.Solution: Complete design and development of a SaaS — buyer portal with AI chatbot (guided defect reporting, photo analysis), developer dashboard, legal AI agent (analysis of defects against CCTP), automated PDF export. Stack: Next.js, Supabase, Claude Sonnet, Voyage AI (RAG).Result: Product in production, first customers in the process of signing. Processing time for a defect on the developer's side divided by 4.
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Education
- EngineerEcole Spéciale des Travaux Publics2011
Skill set
Categories
- Other