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Hi 👋, I'm Marcos Gotado

Backend & AI Engineer working with high-scale systems, event-driven architectures, and applied AI.

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🚀 About Me

I'm a Backend & AI Engineer with 8+ years of experience building highly available, scalable backend systems for educational and financial platforms.

My work focuses on event-driven architectures, large-scale integrations, and AI-powered automation — turning complex, manual processes into reliable, automated systems used by thousands of users in production.

I currently work extensively with C#, JavaScript (Node.js/NestJS), Python, Azure, AWS, and applied AI (LLMs & RAG).


🧠 What I'm Working On Now

  • AI-powered educational platforms for automated essay and discursive correction
  • Large-scale backend systems supporting thousands of schools
  • Event-driven integrations using Service Bus, Event Hub, Kafka, and RabbitMQ
  • LLM orchestration, RAG pipelines, validation layers, and quality control for AI outputs

⭐ Featured Project

🔹 DizDoc — AI Meeting Intelligence Platform

AI-powered platform that transforms meeting transcripts into structured decisions, tasks, and Kanban boards.

What it does

  • Extracts tasks and decisions from meeting transcripts
  • Builds structured summaries with traceability
  • Generates and syncs Kanban boards automatically
  • Designed for async teams and real productivity gains

Tech stack

  • JavaScript (Node.js / NestJS)
  • Azure Services
  • OpenAI APIs
  • RAG & NLP pipelines
  • API-first architecture with background workers

🌐 https://www.dizdoc.com


🛠 Core Expertise

Backend & Architecture

  • C# (.NET Core 3.1, 5, 6, 8)
  • JavaScript (Node.js, NestJS)
  • Python
  • REST & GraphQL APIs
  • Clean Architecture, SOLID, Microservices, Event-Driven Design

Cloud & Messaging

  • Azure (Functions, Service Bus, Event Hub, Blob Storage)
  • AWS (Lambda, SQS, SNS)
  • Kafka, RabbitMQ
  • Docker, Kubernetes

Data & Storage

  • SQL Server, PostgreSQL, MySQL, Oracle
  • MongoDB, DynamoDB
  • Redis
  • Entity Framework, Dapper

AI & Automation

  • OpenAI & Azure OpenAI
  • Retrieval-Augmented Generation (RAG)
  • Embeddings, chunking strategies, semantic search
  • LLM orchestration and validation pipelines
  • Semantic Kernel

🔧 Secondary Experience

  • Frontend: React, Blazor, Razor Pages
  • DevOps: Azure DevOps, GitHub Actions
  • Monitoring: Application Insights, CloudWatch, Grafana

📫 Contact


⭐ I enjoy working on complex systems where scale, reliability, and automation really matter.

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