Software. Engines. New possibilities.

Curiosity,in motion.

I’m Daniel Gaio, a computer engineer working across software, data and applied AI.

Selected work

Financial services

Financial-services engineering

APIs, automation and data integration.

Behind the work

Sicredi Liberdade

Experience with backend APIs, Python automation, data integration, production support and technical documentation.

  • APIs
  • Python
  • Data integration

ProsperSync / Capture

Images and voice into expense data

Behind the work

Personal project · Product engineering

Building the expense-capture experience of a personal finance application, using images and voice as inputs. This work brings together the Next.js application, PostgreSQL and OpenAI.

  • Next.js
  • PostgreSQL
  • OpenAI
Explore ProsperSync

ProsperSync / Systems

AI integration and delivery

Behind the work

Personal project · Backend integration and delivery

Built a financial-analysis service with Python, FastAPI and LangGraph, with shared model configuration and provider integration. Delivery work also includes automation for application-function deployments and database migrations.

  • Python
  • FastAPI
  • LangGraph
Explore ProsperSync

Beyond the code

A little curiosity.
A lot of adventure.

Motorcycles / Cars / Adventure

My storyBackground, perspective and what comes next

My path connects computer engineering with software and automation in financial services. Across these experiences, I’ve worked with backend APIs, data integration, production support and technical documentation.

ProsperSync is where I explore a product of my own: a personal finance application that combines expense capture from images and voice with conversational financial insights. Building it also means connecting AI services to the product and working on shared configuration and delivery automation.

This website is my next learning project. I’m building it with TypeScript, Node.js and AWS, with practical exercises in security, reliability, observability and distributed systems. I want to show the decisions, tradeoffs and lessons as the work develops.

I write about the practical side of building with AI, working with complex systems and what I’m learning along the way.

Browse all writing
BUILDING & LEARNINGThis website is part of the work.

I’m building this portfolio on AWS to get hands-on with security, resilient delivery, caching and observability. The goal is to make the decisions and lessons worth sharing.

  • Security
  • Resilience
  • Observability
  • Distributed systems

Let’s build useful things.

Have a problem to solve, a project to build or an opportunity to discuss? I’d like to hear about it.