Find potential customers, automate support replies, and make decisions informed by your business data, with AI connected to the systems you already use.
Over 10 years building products used by thousands of people.
Where I cut costs and speed up your operations.
Five common examples. If yours is different, tell me.
Prospecting and follow-up automation with AI.
No lead goes unanswered. An AI agent finds companies that match your customer profile and follows up over WhatsApp and email on the right day. Every conversation lands in a CRM built around your sales process.
AI customer service on your channels.
Your customers get an answer in seconds, at any hour. An AI assistant checks your systems to share an order’s status or send a copy of an invoice. When a case needs a person, the conversation goes to your team with its full history.
WhatsApp
Email
Chatbot
An AI agent connected to your company’s data.
Your team queries data and builds reports in seconds. The agent reaches your BI and ERP through MCP, with each person’s own permissions, and puts the reports together automatically. Every morning, a summary of the day reaches your phone.
Internal process automation with AI.
Your team stops copying and pasting between systems. An AI agent reads contracts and orders and enters the data straight into your ERP or CRM. Anything that needs a decision goes to someone on your team for approval.
An AI employee working 24 hours a day.
No routine depends on someone remembering. A company-owned AI agent asks suppliers for quotes and tracks inventory, and you talk to it on the channel your team already uses. It runs isolated in your own cloud and asks for approval before any sensitive action.
Where I’ve driven results.
Products, integrations, and automations developed for businesses in hospitality, lending, telecom, and legal technology.
Technology led from day one, from the owner app to the AI agents that support operations.
First version of the app live in 3 months, built with React, Next.js, TypeScript, NestJS, and GraphQL. The platform then scaled to 500+ owners and 10,000 bookings.
Internal backend on NestJS, Redis, and AWS, connected to the operation’s services, that streamlines property management.
Booking portal with the property listings, where guests book, pay, and get help from support without leaving the site.
Owner portal where owners track each property’s profitability, manage their calendar, and reach support.
Data analysis dashboard on Metabase and PostgreSQL, with ETLs keeping every source in sync so management decides on up-to-date numbers.
AI agent that lives in Slack and supports four teams every day: property management, marketing, support, and finance.
Agent that finds bugs through Sentry, applies the fix in the code, and opens pull requests ready for review.
Agent that continuously analyzes homeowners’ needs and proposes improvements to the software.
Products for guests and for the revenue and hospitality teams of a vacation rental company, built with React, Next.js, and Node.js.
Booking checkout optimized through guest behavior analysis and faster loading in React and Next.js, measured with Datadog APM and Lighthouse, raising conversion.
Internal tools in React, Node.js, and GraphQL, shaped with product and operations, that automated 60% of manual workflows and saved field teams hundreds of hours a month.
Quality standards with TypeScript and unit tests that cut production bugs and sped up the team.
Self-service app for 6 million+ customers, built with React Native on a serverless Node.js backend.
GraphQL API optimized with serverless Node.js functions and more efficient DynamoDB queries, so millions of customers could use the app without waiting.
Billing features in React Native and Apollo Client that handled over 1 million bills a month.
Support and self-service flows in React Native and Apollo Client, shaped with the design, product, and operations teams so customers could solve issues on their own in the app.
React
React Native
TypeScript
Apollo Client
GraphQL
Node.js
Amazon DynamoDB
— Remote
Pega Crédito
Tech Lead
Lending product built from scratch, from architecture to launch.
Lending app in React Native with a Node.js and GraphQL backend that passed 100,000 downloads and R$500,000 in loans.
Product led from idea to launch as tech lead, with architecture and infrastructure on DigitalOcean, to get the lending operation live.
Early traction validated with the app; the business later closed due to business model constraints.