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guilannes2/README.md

Think different. AI-enabled automation and secure systems integration

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I build AI-enabled automation and secure integration infrastructure that connects financial, operational and field service platforms. It is plumbing work: making accounting systems, CRMs, e-commerce storefronts and field tools behave as one system instead of four.

  • Multi-tenant integration services, with OAuth 2.0 authorization flows, webhook ingestion and signature verification, encrypted credential storage, and isolation between tenants.
  • AI agent workspaces orchestrated with LangChain and LangGraph, where model output passes through validation before it can write to a system of record.
  • Operations and field service platforms, covering job tracking, document capture and reporting for teams that work away from a desk.
  • Commerce and accounting extensions built directly on QuickBooks, Shopify and Airtable.

Before going into engineering full time, I taught Information Systems at a Brazilian university for six years: 23 undergraduate courses and 1,620 classroom hours, in programming, data structures, databases, secure software development and computer networks.

Certifications

Google Cloud Certified — Professional Machine Learning Engineer AWS Certified Machine Learning Engineer — Associate Microsoft Certified: Azure AI Apps and Agents Developer Associate

Stack

Languages and frameworks: JavaScript, TypeScript, Python, React, Next.js, Node.js, Tailwind CSS. AI and cloud infrastructure: LangChain, Google Cloud, Firebase, Supabase, Vercel. Integration and platforms: GraphQL, QuickBooks, Airtable, Shopify, Make.

Education

B.Sc. in Information Systems
Faculdade Anhanguera de Negócios e Tecnologias da Informação, Brasília, Brazil · 2013 to 2018


Contributions

Contribution graph animation

Over 110 merged pull requests across client and product repositories.

Client and product work lives in private repositories, so the contribution graph above is the public record of it. Available on request for anyone evaluating my work.

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