Eduardo Lelis

Eduardo Lelis

Founding Engineer at Gyld

I build backends, AI integrations, and developer tools.

My work spans product development and infrastructure. I use AI every day, from exploring ideas and reviewing code to setting up environments.

Belo Horizonte, Brazil

What I work on

I build integrations that give assistants access to the tools I use.

MCPs and integrations

Moonlight Desktop MCP lets an assistant see and control my PC.

Development

I use AI to explore ideas, plan changes, write and review code, build and run tests, and debug problems.

Infrastructure

I use AI when setting up environments, changing configuration, investigating failures, and automating routine tasks.

Experience

01

Gyld

October 2025–present

Product, infrastructure, and AI

At Gyld, I help shape the product and work on the backend and infrastructure. I use AI agents for development, code reviews, infrastructure automation, and regression and end-to-end testing.

Node.js · TypeScript · PostgreSQL · CI/CD · Observability · AI-assisted testing

02

Joy

2022–2024

E-commerce backend

At Joy, I worked on the backend for an e-commerce operation, including order fulfillment automation and feature flags.

E-commerce · Order fulfillment · Feature flags

03

PayPal

2021–2022

API for customer onboarding

At PayPal, I worked on a unified API that brought internal microservices together for customer onboarding.

APIs · Microservices · Integrations

04

Earlier experience

2016–2021

Development, DevOps, and technical leadership

At BairesDev, Framework, Hotmart, and VipCommerce, I worked with AWS infrastructure, containers, Terraform, and CI/CD pipelines. I also mentored other developers.

AWS · Docker · Terraform · CI/CD · ECS · Fargate · EKS

Outside work

I make tools, adapt hardware for my own setup, and write about motorcycles and games.

Read the blog ↗

Moonlight Desktop MCP

An MCP server that lets an AI assistant see and control my PC through Moonlight.

ARM Docker Companion

I keep my development tools on the Mac and run containers on a Linux ARM machine over SSH.

Have an opportunity in mind?

Let’s chat.