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guix77/README.md

Guillaume Duveau

Solutions Architect | Applied AI

I design pragmatic AI-enabled systems that combine LLMs, agents, deterministic software and human validation.

My background is in software and solutions architecture, with 20+ years in web and software and six years as a hands-on CTO.

Current areas of focus:

  • Applied AI systems and agentic workflows
  • AI tools connected to APIs and business systems
  • MCP servers and tool interfaces for LLMs
  • evaluation, reliability and quality/cost trade-offs
  • LLM + deterministic software architectures
  • rapid prototyping and AI-assisted delivery

Selected projects

MCP server exposing French trademark data from INPI to AI assistants.

Applied AI case study evaluating low-cost vision-language models for family-photo curation, with reproducible human-labeled evals, cost/latency analysis, and a documented KILL decision.

Current work

I’m currently working independently on Applied AI and solutions architecture through duveau.pro.

duveau.pro · LinkedIn

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  1. mcp-inpi-pi mcp-inpi-pi Public

    MCP server for querying French, European & international trademarks via the INPI API. Search, details, Nice classification.

    TypeScript 1

  2. photocurate photocurate Public archive

    Applied AI case study evaluating low-cost vision-language models for family-photo curation, with reproducible human-labeled evals, cost/latency analysis, and a documented KILL decision.

    Python 1