Senior-minded Full-Stack Software Engineer
Full-stack developer with strong backend focus, currently working at Zenvia on CPaaS systems.
I work daily with:
- Backend: Node.js (TypeScript), Java (Spring Boot)
- Cloud & Infra: AWS, Docker, Kubernetes, Redis, Kafka
- Frontend: React, Next.js, Tailwind
Beyond my day job, I operate with a strong builder mindset, focusing on turning ideas into usable products quickly and iterating based on real feedback.
What I care about:
- Building SaaS products end-to-end (idea β MVP β distribution β monetization β iteration)
- Optimizing for speed of validation over overengineering
- Strong bias toward product thinking: usability, retention, and real user problems over technical purity
- AI-native products and workflows
- Growth loops and product distribution
SaaS AI platform for generating high-converting ad creatives (UGC-style videos, banners, hooks) at scale with AI.
Key aspects:
- Focus on creative velocity: generate and test multiple variations quickly without relying on designers or editors
- Designed for affiliates, TikTok Shop sellers, and performance marketers
- AI pipelines for generating different creative formats aligned with platform dynamics
Tech stack: Confidential
Website: https://adpad.com.br
A commercially active micro SaaS for creating highly realistic chat conversation mockups across WhatsApp, iMessage, Instagram, and 15+ other messaging platforms.
Built end-to-end as a solo project, from product design to monetization and analytics.
Key aspects:
- Subscription-based product with weekly plans and lifetime licenses, fully integrated with Stripe
- Strong focus on data-driven decisions, with full analytics instrumentation including user behavior, critical events, session replays, surveys, and error monitoring
- Optimized for speed, simplicity, and creator workflows
Tech stack: Next.js, React, TypeScript, Vercel, Drizzle, Turso (SQLite), Stripe, PostHog, Google Analytics
Website: https://chatmocks.com
Personal finance assistant built as my undergraduate thesis, focused on managing expenses through natural conversation on WhatsApp.
I designed and implemented the system end-to-end, from architecture to cloud deployment, and validated it with real users.
Key aspects:
- Asynchronous, event-driven backend using a Node.js/TypeScript monorepo with Redis and BullMQ for high responsiveness
- Deep integration with OpenAI for natural language understanding, enabling expense tracking, balance queries, and reminders via chat
- Fully containerized with Docker and deployed to production on Oracle Cloud
- Usability tested with 20 real users over 45 days, iterating based on real feedback
Tech stack: Node.js, TypeScript, OpenAI, MySQL, Prisma, Redis, BullMQ, Docker, Oracle Cloud, Sentry
Thesis: https://dspace.ifrs.edu.br/xmlui/handle/123456789/2403


