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willianpinho/README.md

Hi, I'm Willian Pinho

Software Architect & AI Engineer building production AI systems, scalable platforms, and developer tooling.

15+ years shipping enterprise software. From payment platforms (10M+ users, 100K+ TPS) to AI-powered document processing pipelines. Led teams of 20+ engineers across fintech, e-commerce, and SaaS.

What I Build

AI Engineering

  • Multi-agent orchestration platforms with LLM routing, observability, and cost optimization
  • RAG pipelines with pgvector, hybrid search, confidence routing, and human-in-the-loop
  • Intelligent Document Processing — 10-stage AI pipelines with OCR, extraction, and validation
  • Developer tooling — MCP servers, AI-assisted workflows, prompt engineering systems

Software Architecture

  • Event-driven microservices with NestJS, FastAPI, PostgreSQL, Redis, and message queues
  • Modular SaaS platform — 76 reusable packages (Python + TypeScript) powering multiple products
  • Cross-platform mobile with SwiftUI (iOS) and Jetpack Compose (Android), Clean Architecture

Featured Projects

Project What it demonstrates Stack
large-file-mcp Open-source MCP server for AI dev workflows TypeScript, MCP Protocol
document-management-system Cloud DMS with AI-powered processing NestJS, Next.js 16, PostgreSQL, AWS
idp-poc 10-stage AI document pipeline with RAG chat FastAPI, pgvector, Claude, Streamlit
agent-platform Autonomous agent orchestration platform LiteLLM, Langfuse, Mastra, Telegram
meeting-minutes-saas Production SaaS — AI meeting transcription Next.js, Supabase, Stripe, Gemini
modules-saas-platform Shared module ecosystem for serial SaaS building 76 packages, Python + TypeScript

Tech Stack

AI/ML: RAG, LLM Orchestration, Multi-Agent Systems, Vector Databases, Prompt Engineering, MCP Protocol

Backend: FastAPI, NestJS, Node.js, Spring Boot  |  Frontend: Next.js, React, SwiftUI, Jetpack Compose

Data: PostgreSQL, pgvector, Redis, Supabase, ClickHouse  |  Infra: AWS, Docker, Terraform, Traefik

Languages: TypeScript, Python, Swift, Kotlin, Go, Java

Connect

LinkedIn Website

Pinned Loading

  1. large-file-mcp large-file-mcp Public

    MCP Server for efficient large file operations in AI development workflows — chunk reading, smart search, replace

    TypeScript 11 3

  2. document-management-system document-management-system Public

    Cloud-based Document Management System with AI-powered processing — NestJS + Next.js 16 + PostgreSQL + AWS S3 + Textract

    TypeScript

  3. agent-advisor-platform agent-advisor-platform Public

    Multi-agent static code analysis platform using CrewAI — automated code review with AI agents

    Python

  4. medium-curator medium-curator Public

    Automated Medium content curation with AI scoring and email delivery — Python + RSS + Anthropic

    Python

  5. dynamic-forms dynamic-forms Public

    A comprehensive multi-platform project for dynamic forms with native implementations for Android and iOS, designed to handle complex form workflows with enterprise-grade architecture.

  6. smart-summary-app smart-summary-app Public

    AI-powered text summarization application using OpenAI APIs — TypeScript + Next.js

    TypeScript