AI AUGMENTED DEVELOPER? 
Frontend-focused product engineer building fast, scalable, AI-enabled interfaces.
AI COMMODITIZED TYPING.
IT DID NOT COMMODITIZE ENGINEERING.
The engineer owns the thinking.
Understanding the problem. Exploring the solution space. Choosing the architecture. Weighing performance and cost. Designing the guardrails that catch regressions before users do. None of that gets delegated. AI accelerates the keystrokes, not the judgment.
Hidden decision debt is real.
Skipped judgment surfaces later as spec drift, performance regressions, and untraceable bugs. I keep decisions explicit so the debt stays visible.
Coherent output ≠ correct output.
LLMs are probabilistic compilers — they optimize for coherence, not correctness. Verification is structural: tests, types, guardrails. Not vibe-based.
Workflow is method, not ritual.
The tools change. The agents change. The pipelines get renamed. What stays constant is who's accountable for the result.
The signature I sign on the work is the judgment behind it.
That's the part worth paying for.
Products I've
built & shipped
Each project documents not just what was built — but why. The tradeoffs, constraints, and decisions behind it.
REVLA
Conversation intelligence platform for B2C teams
Fullstack SaaS dashboard that analyzes client–attendant conversations to anticipate risks and opportunities with AI. Shipped the CSV import that unlocked the company's first signed contract.
VEGAJUS
Legal-tech SaaS for Brazilian solo lawyers
Co-founded CRM + WhatsApp automation + Meta Ads platform. I lead frontend and product; co-founder owns backend. Vibe-coded validation prototype, then rebuilt v1 deliberately on modern stack.
COLLAMAP
AI-powered research suggestion engine
Main frontend engineer for 3 years on a multi-tenant research platform. Diagnosed a retention problem through engagement-data analysis, then shipped a 3-stage AI pipeline at 66% cost reduction in 4 days.
WHERE I'VE OPERATED
Fullstack Engineer · fullstack on current project
- Fullstack engineer on Revla, a conversation intelligence SaaS for B2C teams — React/TypeScript frontend, Node.js + PostgreSQL backend.
- Implemented Unleash feature flag rollout end-to-end across frontend and backend; partnered with DevOps on infrastructure side.
- Built CSV conversation import end-to-end (upload UI → Node service → AWS Lambda pipeline → email notification) — the feature that unlocked the company's first signed contract.
- Designed and shipped the events + alerts system to surface AI-detected signals proactively, addressing platform retention.
- Joined client discovery sessions directly; used AI to bridge the analyst gap on a 4–5 dev team with no dedicated analyst.
Frontend Engineer
- Main frontend engineer on CollaMap, a multi-tenant scientific knowledge platform — team of 1 backend, 2 frontend (I led FE), 1 QA, shared DevOps — for 3 years.
- Diagnosed low platform retention through user engagement analysis (Microsoft Clarity), proposed an AI-driven research discovery feature, and built a full-stack POC in 4 days — a 3-stage novelty detection system at $0.17/run with 66% cost optimization. Shipped to production.
- Presented architecture, user flow, and cost projections directly to the client.
- Reduced time-to-interactive by 60% on the canvas home screen through code splitting, virtualization, memoization, and image lazy-loading (Lighthouse, before/after).
- Built and maintained a custom rich-text editor for research note authoring with per-tenant configuration.
- Onboarded the second frontend engineer; led FE technical decisions in cross-functional meetings; conducted ~5 hiring interviews.
Business Analyst
Supported Pix and Open Banking implementation at scale — analyzing Central Bank documentation, contributing to transaction rules discussions, and producing technical compliance documentation for a platform processing millions of users and millions in transaction value.
Frontend Developer
Development of project features in dashboard and e-commerce. Techs: React, Typescript, Jquery, CSS, HTML.
Fullstack Developer
Development of websites and web applications. Techs: Node.js, MongoDB, React, HTML, Sass, Material-UI.