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Yclpaiva/README.md

Yuri Paiva profile header

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Software Engineer, AI Agents, RAG and automation platforms

I build software that connects AI systems to real products: agentic workflows, RAG pipelines, LLM-powered automations, multi-tenant APIs, integrations, observability and internal developer tools.

My current work is focused on applied AI engineering and production automation. I have hands-on experience with LangChain, LangGraph, tool/function calling, vector search, prompt engineering, LLM evaluation, n8n workflows, Typebot customization, REST APIs, PostgreSQL and cloud infrastructure.

I am especially interested in systems where AI is not just a chat layer, but part of a reliable product architecture with tools, state, validation, permissions, logs, fallback and measurable business impact.

What I work with

  • AI engineering: AI Agents, RAG, embeddings, vector search, prompt engineering, tool/function calling, LLM APIs and evaluation.
  • Agentic development: built a custom TypeScript agent harness on top of Pi Coding Agent and use agentic coding tools daily.
  • Backend and APIs: REST APIs, webhooks, Swagger/OpenAPI, authentication, multi-tenancy, service layers and production integrations.
  • Automation platforms: production n8n workflows, internal n8n customization, Typebot customization and conversational automation.
  • Cloud and operations: Docker, Linux, AWS, Azure, GCP, CI/CD, observability, logging, auditing and troubleshooting.
  • Frontend: React, Next.js, Vue.js, Tailwind CSS and product UI implementation when needed.

Current stack

TypeScript JavaScript Python PHP Go Node.js React Next.js PostgreSQL Redis Docker Linux

AI and automation toolkit

LangChain LangGraph OpenAI Claude Gemini RAG Vectors Agents Tool Calling LLM Evaluation n8n Typebot

Selected engineering experience

  • Built GenAI prototypes with LangChain and LangGraph, including tool-using agents, multi-step workflows, function calling and REST API integration.
  • Implemented RAG pipelines with ingestion, chunking, embeddings, vector storage, retrieval and contextual LLM responses.
  • Built a custom agentic development harness in TypeScript on top of Pi Coding Agent for daily software development workflows.
  • Maintained production multi-tenant APIs with authentication, webhooks, Swagger/OpenAPI documentation and integration contracts.
  • Developed and maintained production n8n workflows and an internal customized n8n version for company-specific product needs.
  • Maintained an internal Typebot version with custom behavior, branding, localization and integrations for conversational automation.
  • Worked on production systems involving WhatsApp automation, document retrieval, monitoring workflows, operational dashboards and external API integrations.

Background

  • Mid-Level Software Engineer at Workfacilit, working with applied AI, automations, integrations and SaaS platform development.
  • Former Junior Full Stack Developer at Pratics, building automations, APIs, cloud services and Django/PostgreSQL applications.
  • Junior Full Stack Developer at IFPE Research Center, working with Node.js, Go, Java, cloud infrastructure and internal communication systems.
  • Systems Analysis and Development student at Instituto Federal de Pernambuco.

GitHub activity

Yuri Paiva GitHub activity graph

GitHub contributions

Yclpaiva GitHub contributions

Contact

If you want to talk about AI agents, automation platforms, backend systems, applied GenAI or product engineering, reach me at yclpaiva@gmail.com or on LinkedIn.

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