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).
- 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
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
- C# (.NET Core 3.1, 5, 6, 8)
- JavaScript (Node.js, NestJS)
- Python
- REST & GraphQL APIs
- Clean Architecture, SOLID, Microservices, Event-Driven Design
- Azure (Functions, Service Bus, Event Hub, Blob Storage)
- AWS (Lambda, SQS, SNS)
- Kafka, RabbitMQ
- Docker, Kubernetes
- SQL Server, PostgreSQL, MySQL, Oracle
- MongoDB, DynamoDB
- Redis
- Entity Framework, Dapper
- OpenAI & Azure OpenAI
- Retrieval-Augmented Generation (RAG)
- Embeddings, chunking strategies, semantic search
- LLM orchestration and validation pipelines
- Semantic Kernel
- Frontend: React, Blazor, Razor Pages
- DevOps: Azure DevOps, GitHub Actions
- Monitoring: Application Insights, CloudWatch, Grafana
- 💼 LinkedIn: https://www.linkedin.com/in/marcosgotado
- 📧 Email: [email protected]
⭐ I enjoy working on complex systems where scale, reliability, and automation really matter.