Web & mobile products
Complete applications, from data modeling to the interface — on the web and in native iOS and Android apps.
- APIs, integrations and dashboards
- Mobile apps for iOS and Android
- Deploy, monitoring and infrastructure
Software Engineer · Tech Lead
Complete digital products, from interface to infrastructure — that load fast, are found in search, work for everyone and grow without piling up technical debt.
$ whoami
→ software engineer · tech lead
$ stack --core
→ node · nestjs · postgres · react · next · swift
$ ./deliver --what
→ web + mobile — fast, accessible, secure
Web · Mobile
end-to-end products
Backend · Infra
that sustains growth
SEO · Accessibility
found and usable by everyone
São Paulo, Brazil · remote
Services
Defined scope and deliverables in each one.
Complete applications, from data modeling to the interface — on the web and in native iOS and Android apps.
A product that is fast, found in search and usable by everyone — widening audience and conversion without spending more on media.
Well-founded technical decisions and review of systems in production, for when reverting is expensive.
Scope and budget defined from an initial conversation.
Selected work
The problem, what was delivered, and the result.
SaaS · Backend
Data remodeling and service boundaries on an API that failed during traffic spikes.
−70% latency (example)
Mobile · iOS/Android
Complete mobile product, from design to deploy on both stores, with CI/CD.
4.8★ on the stores (example)
Web · SEO/Performance
Technical SEO, performance and accessibility on a site that did not convert.
+3× organic traffic (example)
Illustrative examples — replace with real cases.
Writing
Analysis, technical decisions and notes from real projects.
Without hreflang, Google treats /pt and /en as duplicate content and picks a version on its own. How to do it right — reciprocal, with x-default — and the different-slug trap that points to a URL that does not exist.
A language model fills gaps with what sounds plausible. In a summary of someone else’s content, that is misinformation with your name on it. The guardrails that keep the AI anchored to the source — and why the one that matters does not trust the model.
Frameworks, languages and interfaces get swapped. The data model, once in production with real data, resists — and every feature is born fighting it. Why this is the decision that most deserves care up front.
Contact
Tell me in two lines what you are building and where you need help.