I’m a full-stack developer based in Brazil, with about five years of experience building web and crypto applications. I live near the ocean, close to an environmentally protected area and that context helps bring balance to my life and shape how I think about building. I like focusing on usefulness and durability, and keeping things grounded in reality.

Most of my work has been in software development across the web stack, from interfaces to backend systems and integrations. Crypto and decentralized technologies gradually became a consistent part of that path.

I work across the full web stack and learn fast when a project demands new tools or domains. My main experience is with React, Next.js, TypeScript, Node.js, Python, APIs, automation, and blockchain-related systems, but I’m flexible about stack choices and tend to optimize for what fits the problem best.

I’m comfortable shipping quickly, working with incomplete requirements, and handling technically messy problems. Hackathons and early-stage product work fit me well for that reason. I like to focus on resilience, efficiency, and keeping systems as simple and maintainable as possible. I use AI heavily in my production workflow to move faster without giving up technical control.

I am mainly driven to tools that really work and cases that produce real results. Here are some of my main areas of interest when it comes to building.

My interest in decentralized protocols comes from the fact that it is the single best answer to resilience. Important systems with a broad set of stakeholders should depend as little as posible on centralized control, narrow chokepoints or small set of trusted actors. Being decentralized comes with the cost of being less flexible and agile to changes of paradigms, so this guideline should be used very deliberately in the right cirunstances.

Permissionless environments interest me because they maximize the leveraging of human resourcefulness by lowering the barrier of entry to near zero. Aside from any moral or political consideration, as a spec it just produces the most results. It does bring about the problem of curation, but humans are pretty good at that.

Privacy contributes to the same result but in other ways. It mostly acts against excessive institutional or regulatory contraints. Systems that leverage ways to enforce rules without giving up privacy are among the most powerful going forward. Off course that protocols based on ZK proofs deserve a special mention in this use case.

Another major area of interest worth mentioning is the use of agentic AI both for personal use as for integration in production settings. If used well, it is an incredibly powerful piece of tech, but it is still greatly misunderstood by most people and marketed in grotesquely misleading ways. One of my current aims is to develop protocols envolving AI agents that produce good results in both type of settings, and eventually have a product that is either costumizable for personal use or specializable for a production pipeline.

Overall i just like to work on building software so feel free to contact me if you need a hand: WhatsApp, Telegram, email.