Martin Miguel Gomez Vega

Led the design, development, and deployment of an enterprise agentic library under Spec-Driven Development, adopted as a company-wide standard. Designed high-concurrency, low-latency microservices in Golang on AWS and developed end-to-end flows for Mutual Funds and BackOffice platforms.

Developed and scaled transactional backend services in Golang, Python, and PostgreSQL to support high-volume operations. Designed resilient integrations with third-party services and managed AWS cloud infrastructure, optimizing response times and database queries.

Owned end-to-end development of Mutual Funds and Trading flows, covering frontend to backend microservices. Developed services in Golang and React JS, optimized high-demand databases, and implemented Infrastructure as Code on AWS using Terraform and Terragrunt.

Owned the Investments BackOffice, responsible for capital markets business analysis, technical design, and evolution of the Broker-Dealer BackOffice system using .NET (C#), JS, React.js, and AWS.

Performed requirements gathering, functional analysis, system design, and programming of data modules using Python, MongoDB, MySQL, and XML.

Completed a degree in Computer Engineering (Ingeniería Informática) from 2018 to 2024.