Hugo SEQUIER

I'm an AI engineer helping operations and product teams turn documents, plans, images, and repetitive workflows into practical, production-grade AI systems. I work on processes that are slow, manual, or hard to run reliably: document intelligence, floorplan and construction document verification, image analysis, report generation, knowledge search, and internal workflow automation.

My approach covers the full chain end to end: scoping the business problem, rapid prototyping, building AI agents, computer vision pipelines, RAG systems, data pipelines, Python/FastAPI backends, and integrating everything into the tools teams already use day to day. I also build fullstack interfaces with React/Next.js/TypeScript when a usable front-end is part of the solution.

I've taken projects like AnalyzTech (an AI platform for verifying construction plans and documents) from R&D to MVP to production, built AI bots for automating crypto news distribution and community responses, developed a dataset marketplace with upload, segmentation, storage and monetization features, and worked on DeFi/data products with blockchain integration. Before going freelance, I worked as a Data Scientist on generative design for optimizing housing and parking layouts in the construction industry, and as a fullstack engineer on Java/Vue.js applications.

What drives me is building AI tools that don't stay stuck as demos, but actually get embedded into daily operations, cut manual work, and create a measurable impact for the teams using them. I favor a pragmatic path: identify the right first use case, ship a useful first version, validate it with real users, then progressively harden it.