Senior Mobile Architect passionate about building world-class digital experiences. I share technical content on mobile development, Flutter, Kotlin, and software architecture through talks, podcasts, and open source contributions.
I led the architecture of the entire Mobile app for a B2C startup from its initial stages to its production launch. I'm integrating the whole ADR's decisions for the app, including the release through stores in Android and iOS.
Part of the mobility team redesign a delivery app and a retail app with national reach, collaborating in critical improvements in legacy features. Involved in technical architecture design, process improvement using maps/geolocation and sockets, all integrated with Crashlytics.
I led the architecture of the entire MVP for a startup from its initial stages to its production launch. Reduced push notification costs by approximately 60% by migrating from a third-party solution to FCM, designing a backend sending and segmentation flow deployed on GCP.
I led a small team in the development of the "Fire Alert" mobile application, implementing all critical modules according to project requirements till release in production. I developed real-time management modules for fires, alerts, and protocols, and implemented an AI Assistant using Firebase and Google Cloud.
Collaborated as mobile dev in a medical appointment app using Clean Architecture, from initial stages to production launch. Implemented Clean Architecture for efficient communication with queries using RESTful APIs, optimizing bandwidth consumption by 40%.
As mobile developer for a local startup, collaborated in the implementation of a mobile map search feature that increased searches by approximately 20% (in users), integrated with a dedicated backend API. Implemented unit tests for design validation with specific use cases.
A selection of projects and contributions I've shipped, maintained or supported.
A Flutter application with RAG infrastructure for conducting market research or analyzing your competitors as a seller to learn about the latest trends by interacting with an LLM, asking questions, and updating report information with a RAG back-end orchestrated with Firebase, Vertex AI, and cloud functions (Google Cloud). It also includes a mobile app as a user interface for an easy-to-use experience.
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This application uses artificial intelligence to suggest price changes based on sales trends and sends notifications when its products are in high or low demand. This works thanks to an architecture based on the continuous ingestion of real-time events using: Python, Google GenAI (Gemini): for prediction/AI capabilities, ChromaDB: as a vector database (for embedding/semantic search), Docker Compose, Flutter: for the user interface (UI)
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This is a package for implementing computer vision with Flutter. It consists of implementing a widget that tracks body postures. Useful for fitness and health applications.
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One of my most popular samples of UI. This is an example book app with interactive animations for navigating and learning, avoiding the use of packages.
Go to RepoTalks and workshops at conferences and community meetups.
Flutter Engine Fundamentals: Mantiene tu app Optimizable con Spec Driven Development(SDD)
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Domina el Render Pipeline en Flutter y Optimiza tu UI al máximo
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Domina el Render Pipeline en Flutter y Optimiza tu UI al máximo.
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Engine Fundamentals: Manten tu app en 60 fps.
Go to eventBuild apps you'll love with Flutter
Conversations with developers, tech leads, and founders about career, technology, product, and culture in the mobile and web ecosystem. Available on YouTube.
