Professional experience
Engineering in financial services
Sicredi Liberdade
Experience with backend APIs, Python automation, data integration, production support and technical documentation.
COMPUTER ENGINEER · SOFTWARE & APPLIED AI
Hi, I’m Daniel Gaio.
Software, data and AI, built around practical problems.
I’m a computer engineer with experience in software for financial services, automation and applied AI. Here I bring together the things I build, the decisions behind them and what I’m learning along the way.
Purposeful engineering. Continuous learning.Selected work
01 / Selected work
Three perspectives on my work
Product thinking, hands-on engineering and a habit of learning by building.
Product engineering
ProsperSync: from an image or voice note to an expense
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.
Explore ProsperSyncAI services & delivery
ProsperSync: connecting AI analysis to the product
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.
Explore ProsperSync02 / THE PERSON BEHIND THE CODE
Curiosity, made practical.
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.
BUILDING & LEARNING
This 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
03 / Writing
Notes on software, AI and the things I learn along the way.
From Clicking Robots to Thinking Systems: The Journey from RPA to APA
A Monday Morning, Two Years Apart In 2022, Laura started her day the same way she always did. Open ERP. Download CSV. Rename file. Paste into accounting system. Fix column misalignment. Reply to three emails asking for…
Read articleThe Daily Architecture: Velocity vs. Preservation
Consider the modern workday as a logistical problem involving a finite energy source — the human brain—and a fixed timeline. When attempting to navigate from morning to evening without succumbing to exhaustion or…
Read articleHow to Build Your Own Free GitHub Copilot Alternative With Local Models
If you love GitHub Copilot but don’t want to pay for it (or want your code to stay 100% private), the good news is: you can build a free Copilot alternative running entirely on your laptop. In this guide, I’ll show you…
Read article04 / Let’s talk
Let’s build
something useful.
Have a problem to solve, a project to build or an opportunity to discuss? I’d like to hear about it.