Jonathan Rezende

I developed an AI automation suite for one of Brazil's largest digital products platforms, serving thousands of content creators. The project comprised three intelligent systems built with Python and LLM integrations.

The first was a conversational onboarding chatbot that guided producers through product registration, automatically generating descriptions, slogans, and marketing copy based on structured interviews—reducing onboarding time while improving listing quality.

The second was a RAG-powered coaching platform for sellers. By analyzing product metrics and sales strategies, the system retrieved relevant content from a knowledge base and synthesized personalized action plans and lesson summaries using Retrieval-Augmented Generation.

The third was an intelligent moderation system. Starting with manual reviews, I built a pipeline that learned from historical decisions, eventually automating the majority of content and producer approvals.

Led the development of a Flutter mobile application for one of Brazil's largest digital products eCommerce platforms. The app serves thousands of digital product creators and their customers, providing a complete ecosystem for selling and consuming online courses, ebooks, and digital content.

I was responsible for the entire mobile development lifecycle, from architecture design to App Store and Google Play deployment. The app integrates with a back-end system that processes over 10 million transactions per month, requiring careful attention to performance, reliability, and real-time data synchronization.

Key features I implemented include real-time sales dashboards, push notification system for transaction alerts, secure payment status tracking, affiliate management tools, and offline-capable content consumption. The architecture follows clean code principles, including a state management provider, ensuring maintainability and testability across the codebase.

Created and maintained js_bindings, an open source library that provides comprehensive JavaScript bindings for the Dart programming language. This project was officially incorporated by Google as the foundation for Dart's web interoperability solution, representing a significant contribution to the language ecosystem used by millions of developers worldwide.

The library automatically generates type-safe Dart bindings from Web IDL specifications, enabling Dart developers to seamlessly interact with browser APIs and JavaScript libraries. I developed a custom parser and code generator that processes W3C specifications and produces idiomatic Dart code with full type safety.

The project required a deep understanding of Dart and JavaScript runtime semantics, WebAssembly compilation targets, and browser API specifications. I collaborated with the Dart team at Google during the adoption process, ensuring the library met their quality standards and architectural requirements for integration into the official Dart SDK.

Developed a comprehensive React Native mobile ecosystem for healthcare clinic management, consisting of three interconnected applications: one for clinic administrators, one for healthcare professionals, and one for patients. The platform streamlines clinic operations, appointment scheduling, and patient care coordination.

The clinic admin app provides complete operational control, including staff management, financial reporting, inventory tracking, and multi-location support. The doctor app enables physicians to manage their schedules, access patient records, write prescriptions, and access historical assets. The patient app allows appointment booking and payment.

I architected the system using a shared codebase approach with React Native, maximizing code reuse across the three applications while maintaining distinct user experiences. The back-end integration includes real-time synchronization for appointment updates and push notifications for appointment reminders. Implemented offline-first architecture to ensure doctors can access critical patient information even without connectivity.