Full-stack development · Solution architecture · Technical leadership · Applied AI
I develop software, connect ideas and solve problems.
I'm Paynalton, though almost everyone calls me Pay. I develop software, design solutions and support teams to solve problems. I'm interested in projects that require learning and connecting disciplines. I work with people and AI agents to expand what we can understand and build, from enterprise systems to tools for editorial creation.
Every project starts with a specific need. These cases show how I approach system integration, the modernization of an operation and the development of tools to think and create with artificial intelligence.
Pipila
Pipila was born to resolve an urgent migration and ended up becoming a reusable integration solution. I built a modular API that separates the interface from processing, preserves pending records in case of external failures, and allows incorporating new flows without depending on the previous platform.
I created Onix to replace a system based on Clipper that hindered work over the network and required frequent data corrections. The ERP continues to handle the corporate operations. I am currently participating in its modernization, with the code migrated to Laminas and a test environment on AWS.
GUACAMAYA was born from a personal challenge: developing a tool that would help me write and publish a book before a convention, with less than a month available. It continues to evolve as I use it in my editorial work, keeping control over the ideas and the outcome.
My career does not follow a single specialty. I have moved from support and automation to systems development, architecture, and team leadership. In each stage I have sought to understand operations and take on the necessary responsibilities to ensure the solution works, from code to its maintenance.
I organize my experience by the problems I can address: building applications, connecting systems, preparing for their operation, and helping other people work on them. Technologies are tools I choose according to the context; my practice requires learning and adapting when needs change.
I enjoy problems because they force me to understand something I still don't know. My process combines research, decisions tailored to available resources, and verification of the result. With people or agents, I seek to maintain clarity about what we are trying to solve.
I write to explore ideas and experiences that do not always find their place in a technical explanation. Here I gather essays, fiction, and editorial projects in progress. Some pieces were born years ago, and others are growing alongside my work with AI. Each piece retains its voice, its context, and its status: a finished publication, an available chapter, or a story that I'm still building.
When the Toaster Talks Back
An exploration of the relationship between human thought and artificial intelligence. The book proposes working with AI as an additional cognitive component to expand our capabilities, while preserving the criteria and direction of what we want to understand and create.