~/about
Software developer and AI engineer, from data to production
Building software since 2010
I have been building software end to end for 15+ years, from the interface to the data, and today I ship AI agents and AI products to production. At Liquid AI, I owned the mortgage data pipeline for more than 20 real estate developers, where I cut the time to prepare a dataset and deliver it into the pipeline from about five days down to as little as 30 minutes. I sustained that operation with my own AI-assisted development framework, with security guardrails and mandatory quality gates. Before that, six years on high-scale products at Itaú Unibanco, Pipefy and Skyone, and open source since 2012.
I build the product, the data pipeline and the engineering standard that make AI deliver measured results in production, not only in demos.

Results
What changed, measured in the operations I worked on. Approximations are stated in the context.
- 5 days → 30 minto prepare a client dataset and deliver it into the pipelineLiquid AI. From about five days down to as little as 30 minutes, replacing case-by-case manual work with API-driven extraction and pre-normalization assisted by AI.
- 20+real estate developers on the data pipeline I operatedLiquid AI. Mortgage datasets that become metrics inside the product.
- 0% → 92%coverage on pipelines that shipped to production with no testsLiquid AI. 920 cases written across two pipelines, which reached 84% and 92%, with a coverage gate in CI and deploys blocked when the suite fails.
- 4.800+test cases protecting the pre-normalization engineLiquid AI. Unit, integration, regression and parity tests, against silent breakage on every data transformation change.
- 15+ yearsbuilding software, from agency to bankSince 2011, with six years on high-scale products at Itaú Unibanco, Pipefy and Skyone.
- 2012the year I started publishing open source476 followers and 122 public repositories on GitHub, with Rust tools published on crates.io.
How I can help
Three offerings, each with a case that proves it.
End-to-end product
For anyone who needs to take a product off the whiteboard without staffing a whole team. Interface, backend, database and infrastructure, from opportunity to production, with the test written before the code.
See the case that proves itAI and data in production
For anyone with data arriving in different formats and manual process blocking operations. Data pipelines and agents that automate the repetitive work, with a regression suite protecting every change.
See the case that proves itAI engineering standard
For teams that already use coding agents, but with no standard or control. An AI-assisted development flow with mandatory TDD, quality gates and executable security guardrails.
See the case that proves it
Experience
(10)- nov/2025 – sep/2026
AI Engineer • Full Cycle Developer
Liquid AI
I owned the data pipeline that turns client real estate developers' datasets into metrics inside Liquid's products, and the AI-assisted development framework that sustained software delivery.
- Cut the interval between receiving a dataset and delivering it pre-normalized into the pipeline from about five days down to as little as 30 minutes, with API-driven extraction and pre-normalization assisted by AI.
- Designed and built Play Manager, an internal product that became the source of truth for the operation, with phase, owner, deadline and health of every dataset visible in one place for the team and leadership.
- Covered with tests two pipelines that shipped to production with no automated tests, 920 cases taking coverage from 0% to 84% and 92%, with a CI gate and deploys blocked when the suite fails.
- Built the internal AI-assisted development framework on Claude Code, with 106 automations, 34 commands, 19 specialized agents, mandatory TDD per tool and 21 inviolable security rules.
- Orchestrated three AI CLIs with separated roles, under the rule that whoever writes does not judge, and the orchestrator is the only one who validates against the gates and versions.
- aug/2025 – oct/2025
Technology Manager
Norte Marketing
I led the technology area as the team's main technical reference, owning architecture, technical design, documentation and delivery management.
- Rolled out an adapted Scrum agile culture, integrating Jira, Bitbucket and Confluence to make deliveries predictable.
- Automated versioning and deploys in AWS pipelines, with linters and automated tests as a quality gate.
- Implemented preview environments per Pull Request, shortening the QA validation cycle.
- dec/2024 – apr/2025
Senior Frontend Developer
Skyone Solutions
React applications for digital products used daily by thousands of users.
- Built a design system and reusable component library, cutting rework across squads.
- Optimized performance with a focus on Core Web Vitals, technical SEO and accessibility.
- Led code review, defined development standards and mentored junior and mid-level developers.
- apr/2022 – jun/2024
Senior Software Engineer
Itaú Unibanco
Microfrontend products for the bank's unauthenticated pages, at the intersection of Marketing and Technology.
- Implemented personalization and A/B testing with VWO and Salesforce Interaction Studio for the unauthenticated audience.
- Raised accessibility, performance and clarity of the public journeys, in an environment of very high traffic and strong regulatory demand.
- Translated marketing demand into sustainable frontend architecture, alongside the business teams.
- jun/2020 – nov/2021
Senior Fullstack Developer
Risknow.ai
Data intelligence dashboards applied to the mortgage credit journey, integrating APIs, microservices and WhatsApp bots that shortened the property appraisal and financing cycle.
- mar/2019 – feb/2020
Senior Frontend Developer
MedPrev e Trackmob
Reactive interfaces in Vue.js and Nuxt.js consuming REST and GraphQL at MedPrev. At Trackmob, Vue.js dashboards on Ruby on Rails for NGOs to track campaign impact in real time.
- oct/2017 – mar/2019
Senior Web Developer
Nossa Causa e Workshop Agência & Escola
Responsive and accessible WordPress sites for institutional clients and NGOs, also acting as UX and analyst in planning the solutions.
- sep/2016 – oct/2017
Senior Frontend Developer and UX Designer
LojasKD Móveis
Symfony e-commerce consuming microservices in Node.js, Python and PHP, with user research and A/B testing after the promotion to UX Designer.
- jan/2015 – aug/2016
Mid-level Front-end Developer
Pipefy e MalaPronta.com
I started the new interface of Pipefy's process management platform. At MalaPronta.com, I modernized a five-year-old layout for responsive and cut server load by cleaning and minifying CSS and JavaScript.
- nov/2010 – may/2014
Web Developer
Agência WX, IBPT, Salsa:Mobion, Totalize e Agência CGDW
Career start in PHP, MySQL, WordPress and Magento: institutional sites, online stores, proprietary CMSs and a drag-and-drop page builder for WordPress.
Education
jan/2015 – dec/2016
Technologist in Internet Systems, Universidade Positivo
jan/2010 – dec/2011
Technical in Computing, Colégio Estadual do Paraná
Stack
- TypeScript
- JavaScript
- Python
- Rust
- Go
- PHP
- Ruby
- React
- Next.js
- Vue.js
- Nuxt
- Angular
- Astro
- Tailwind CSS
- Node.js
- Bun
- Express
- Hono
- FastAPI
- Laravel
- Symfony
- Ruby on Rails
- GraphQL
- PostgreSQL
- MySQL
- DynamoDB
- Firebase
- Polars
- AWS
- Google Cloud
- BigQuery
- Docker
- Playwright
- Vitest
- Electron
- WordPress
- Claude Code
- Codex
- Gemini CLI
- Grok
- Antigravity
- Cursor
- MCP
About this site
This site is also a case study: it was built to be read by people and by AI agents, with the same content in both layers.
- Built with
- Astro 7 rendered on the server, TypeScript and Tailwind CSS 4, published on Firebase App Hosting.
- For agents
- An MCP server, AGENTS.md, llms.txt and a markdown version of every page, opened by the AI button in the corner of the screen. How to connect
- Light by default
- A single browser script, under 1.5 KB, for the pointer effect and the copy buttons. Project art is SVG generated on the server.
- Privacy
- No cookies and no analytics. The site only keeps what you send through the form. Privacy policy
- How it was made
- Built with Claude Code, with tests written before the code and automatic gates for contrast, keyboard, 320px screens and data leaks.
Next step
Need a site, store or system?
Each service says what it is, who it is for and what you get. Pick by what you want to solve and ask for your quote.